This article considers the current problem of investigation and development of method of web-members’
socio-demographic characteristics’ profile validation based on analysis of socio-demographic
characteristics. The topicality of the paper is determined by the necessity to identify the web-community
member by means of computer-linguistic analysis of their information track (all information about webcommunity
members, which posted on the Internet). The formal model of basic socio-demographic
characteristics of virtual communities’ member is formed. The algorithm of these characteristics
verification is developed.
The Effects of Social Media Marketing In the Hotel Industry: Conceptual Model...Samaan Al-Msallam
Hotel industry can use social media to engage customers and clients in dialogue and recognize their needs. Through these networking sites, hotel industry can interact with consumers before, during, and after the vacation experience. Social media is relatively new and the advantages are abundance such as it is affordable, it is viral and has the potential to spread brand awareness quickly and far and it is said to be able to develop link baits, attention and massive amounts of traffic. The purpose of this study was to investigate benefit factors of member participation and the relationships between community participation and brand commitment in hotel online communities. The present study identified five benefit factors (functional, hedonic, monetary, and social and psychological benefits) as the predictors of member participation in hotel Facebook fan pages. Structural Equation Modeling (SEM) was used to test the conceptual model. Based on the results of SEM, the results indicated that four benefit factors (functional, hedonic, social and psychological benefits) positively influenced member's community participation. The findings of this study provide significant insights for the researchers and marketers. From the theoretical perspective, this is the first empirical research that investigated consumer benefits and responses (i.e., community participation and brand commitment) in online communities managed by hotel sector. Thus, the study contributes to the understanding of consumer behavior in social media. From the practical perspective, the study suggests some strategies to effectively design hotel Face book
Identifying the Factors Affecting Users’ Adoption of Social NetworkingWaqas Tariq
Through the rapid expansion of information and communication technologies, social networking sites have received much more attention in the scope of internet communication. Success of a social web primarily depends on users’ satisfaction. In this context, this study aims to identify the influencing factors that affect users’ satisfaction towards social networking site use. A multidimensional model has been proposed based on the Information Quality, System Quality, Environmental and Affective dimensions to assess the effects of key variables – Semantic Intention, Usability, Web-Page Aesthetics, Subjective Norm and Trust- on users’ satisfaction. Facebook was chosen as a focused social networking site, because of its popularity. A comprehensive survey instrument was applied to 203 Facebook users. Also, Structural Equation Modeling, particularly Partial Least Square, was conducted to analyze the proposed research model. As a result, proposed multidimensional research model predicts the factors influencing users’ satisfaction towards social networking site use and relationships among these factors. The findings of this research will be valuable for literature by analyzing the influencing factors that have not been previously researched in the context of social networking satisfaction area.
Designing a recommender system based on social networks and location based se...IJMIT JOURNAL
Mobile devices have diminished spatial limitations, in a way that one can personalize content in a suitable frame considering individual’s location and present it. Yet, it is not possible to consider user’s interests and preferences in a suggestion provided using just place-based services. Current generation of place-based services do not provide users with personalized suggestions, instead they just offer suggestions close to
interests based on users distance from the place where they are. In order to solve this problem, the idea of using social recommender systems was discussed which contains capability of identifying user’s interests and preferences and based on them and user’s current place, it offers some suggestions. Social recommender systems are a combination of social data on web like; user’s social networks and spatial
information. Because user’s information include personal information and interests in social network sites,
considering user’s current location and the information existing in social network data base, it is possible to provide user with a suitable suggestion. Through this method users’ interaction decreases and they can acquire their favorite information and services.
Web search engines help users find useful information on the WWW. However, when the same query is submitted by different users, typical search engines return the same result regardless of who submitted the query. Generally, each user has different information needs for his/her query. Therefore, the search results should be adapted to users with different information needs. So, there is need of
several approaches to adapting search results according to each user’s need for relevant information without any user effort. Such search systems that adapt to each user’s preferences can be achieved by constructing user profiles based on modified collaborative filtering with detailed analysis of user’s browsing history. There are three possible types of web search system which can provide personalized information: (1) systems using relevance feedback, (2) systems in which users register their interest, and (3) systems that recommend information based on user’s history. In first technique, users have to provide feedback on relevant or irrelevant judgments which is time consuming and the second one needs
registration of users with their static interests which need extra effort from user. So, the third technique is best in which users don’t have to give explicit rating; relevancy automatically tracked by user behavior with search results and history of data usage. It doesn’t require registration of interests; it captures changing interests of user dynamically by itself. The result section shows that user’s browsing history allows each user to perform more fine-grained search by capturing changes of each user’s
preferences without any user effort. Users need less time to find the relevant snippet in personalized
search results compared to original results.
The Effects of Social Media Marketing In the Hotel Industry: Conceptual Model...Samaan Al-Msallam
Hotel industry can use social media to engage customers and clients in dialogue and recognize their needs. Through these networking sites, hotel industry can interact with consumers before, during, and after the vacation experience. Social media is relatively new and the advantages are abundance such as it is affordable, it is viral and has the potential to spread brand awareness quickly and far and it is said to be able to develop link baits, attention and massive amounts of traffic. The purpose of this study was to investigate benefit factors of member participation and the relationships between community participation and brand commitment in hotel online communities. The present study identified five benefit factors (functional, hedonic, monetary, and social and psychological benefits) as the predictors of member participation in hotel Facebook fan pages. Structural Equation Modeling (SEM) was used to test the conceptual model. Based on the results of SEM, the results indicated that four benefit factors (functional, hedonic, social and psychological benefits) positively influenced member's community participation. The findings of this study provide significant insights for the researchers and marketers. From the theoretical perspective, this is the first empirical research that investigated consumer benefits and responses (i.e., community participation and brand commitment) in online communities managed by hotel sector. Thus, the study contributes to the understanding of consumer behavior in social media. From the practical perspective, the study suggests some strategies to effectively design hotel Face book
Identifying the Factors Affecting Users’ Adoption of Social NetworkingWaqas Tariq
Through the rapid expansion of information and communication technologies, social networking sites have received much more attention in the scope of internet communication. Success of a social web primarily depends on users’ satisfaction. In this context, this study aims to identify the influencing factors that affect users’ satisfaction towards social networking site use. A multidimensional model has been proposed based on the Information Quality, System Quality, Environmental and Affective dimensions to assess the effects of key variables – Semantic Intention, Usability, Web-Page Aesthetics, Subjective Norm and Trust- on users’ satisfaction. Facebook was chosen as a focused social networking site, because of its popularity. A comprehensive survey instrument was applied to 203 Facebook users. Also, Structural Equation Modeling, particularly Partial Least Square, was conducted to analyze the proposed research model. As a result, proposed multidimensional research model predicts the factors influencing users’ satisfaction towards social networking site use and relationships among these factors. The findings of this research will be valuable for literature by analyzing the influencing factors that have not been previously researched in the context of social networking satisfaction area.
Designing a recommender system based on social networks and location based se...IJMIT JOURNAL
Mobile devices have diminished spatial limitations, in a way that one can personalize content in a suitable frame considering individual’s location and present it. Yet, it is not possible to consider user’s interests and preferences in a suggestion provided using just place-based services. Current generation of place-based services do not provide users with personalized suggestions, instead they just offer suggestions close to
interests based on users distance from the place where they are. In order to solve this problem, the idea of using social recommender systems was discussed which contains capability of identifying user’s interests and preferences and based on them and user’s current place, it offers some suggestions. Social recommender systems are a combination of social data on web like; user’s social networks and spatial
information. Because user’s information include personal information and interests in social network sites,
considering user’s current location and the information existing in social network data base, it is possible to provide user with a suitable suggestion. Through this method users’ interaction decreases and they can acquire their favorite information and services.
Web search engines help users find useful information on the WWW. However, when the same query is submitted by different users, typical search engines return the same result regardless of who submitted the query. Generally, each user has different information needs for his/her query. Therefore, the search results should be adapted to users with different information needs. So, there is need of
several approaches to adapting search results according to each user’s need for relevant information without any user effort. Such search systems that adapt to each user’s preferences can be achieved by constructing user profiles based on modified collaborative filtering with detailed analysis of user’s browsing history. There are three possible types of web search system which can provide personalized information: (1) systems using relevance feedback, (2) systems in which users register their interest, and (3) systems that recommend information based on user’s history. In first technique, users have to provide feedback on relevant or irrelevant judgments which is time consuming and the second one needs
registration of users with their static interests which need extra effort from user. So, the third technique is best in which users don’t have to give explicit rating; relevancy automatically tracked by user behavior with search results and history of data usage. It doesn’t require registration of interests; it captures changing interests of user dynamically by itself. The result section shows that user’s browsing history allows each user to perform more fine-grained search by capturing changes of each user’s
preferences without any user effort. Users need less time to find the relevant snippet in personalized
search results compared to original results.
Social Network in marketing (Social Media Marketing) Opportunities and Risksijmpict
The most well-known social software applications are weblogs, wikis, social networking sites and instant messaging. Social networking at a high level is described as the convergence of technologies that make it possible for individuals to easily communicate, share information, and form new communities online. But the big question today is not what social networking is, but rather what it means for businesses.
Are Social Networking more persuasive than Traditional Word of MouthKUMAR GAURAV
In the present scenario of 21st century when every thing is changing so fast traditional things are losing its importance. This research is conducted to investigate and compare the reliability of recommendation made through social networking and traditional word of mouth.
Hypothesis-
H1- WOM and social networking influence the customer
purchase decision.
H2- Social networking recommendation are more reliable
than traditional WOM.
Major findings are-
-Consumers awareness towards Social Networking and traditional WOM is high.
-Social Network Marketing is more reliable that traditional WOM.
Suggestions-
-Companies should try to promote positive word about their products through social networking and WOM because traditional advertising id losing its effectiveness and due to increased consumerism.
-Companies should to use social networking efficiently to increase their market share because it is not only cost effective but reliable too.
-Quality should be maintained because consumer believe that spreading positive WOM and social networking is difficult because they are not controlled by the marketers and its possible only when product quality is good.
Impact of social branding on purchase intention: An empirical study of social...Sparkles Soft
Impact of social branding on purchase intention: An empirical study of social media websites.
Writer
Jahanzeb Khan
SPARKLES SOFT
www.sparklessoft.com
MobileWhatsApp/Viber: 00923004604250
00923124604250
Skype sparkles.soft
Vonage/Viber 00923004604250
thesis help, uk dissertation help, custom thesis writing in uk, uk mba thesis,
Determination of the Account Personal Data Adequacy of Web Community Member .............................. 1
Solomia Fedushko, Yuriy Syerov, Andriy Peleschyshyn and Korzh Roman
Layered Defense Approach: Towards Total Network Security............................................................13
Kalaivani Chellappan, Ahmed Shamil Mustafa, Mohammed Jabbar Mohammed and Aqeel Mezher
Thajeel
Millennials: Entitled Networking Business Leaders............................................................................23
Dr. Caroline Akhras
Modeling of Citizen Claims Processing by Means of Queuing System ................................................36
Oleksandr Markovets and Andriy Peleschychyn
Suggestions for Informational Influence on a Virtual Community ......................................................47
R. V. Huminskyi, A. M. Peleshchyshyn and Z. Holub
VoIP Security: Improving Quality of Service through the Analysis of Secured Transmission ...............66
Uchenna P. Daniel Ani and Mohammed Mustapha
Social media are basically web-based tools used for computer-mediated communication. It is a powerful tool that healthcare professionals can use to communicate and interact with patients. It has become an undeniable force that healthcare industry must reckon with. This paper provides a brief introduction on how, where, and why social media are being used in the health care sector. Matthew N. O. Sadiku | Nana K. Ampah | Sarhan M. Musa"Social Media in Healthcare" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15907.pdf http://www.ijtsrd.com/computer-science/world-wide-web/15907/social-media-in-healthcare/matthew-n-o-sadiku
User behavior model & recommendation on basis of social networks Shah Alam Sabuj
At present social networks play an important role to express people's sentiment and interest in a particular field. Extracting a user's public social network data (what the user shares with friends and relatives and how the user reacts over others' thought) means extracting the user's behavior. Defining some determined hypothesis if we make machine understand human sentiment and interest, it is possible to recommend a user about his/her personal interest on basis of the user's sentiment analyzed by machine. Our main approach is to suggest a user regarding the user's specific interest that is anticipated by analyzing the user's public data. This can be extended to further business analysis to suggest products or services of different companies depending on the consumer's personal choice. This automation will also help to choose the correct candidate for any questionnaire. This system will also help anyone to know about himself or herself, how one's behavior may influence others. It is possible to identify different types of people such as- dependable people, leadership skilled, people of supportive mentality, people of negative mentality etc.
Social Media and Social Media Marketing: A Literature Reviewiosrjce
Social media and social media marketing are sometimes used interchangeably, but two indeed are
different. The purpose of this research paper is to revisit the literature on both concepts and correlates them in
technical terminologies. We have studied the literature available on Social media first and identified the basic
functionalities of it. Then the literature available on social media marketing helped us in identifying its
dimensions. In conclusion section of the research paper we have correlated the two concepts and redefined
social media marketing in technical terms.
The Effects of Social Media Marketing In the Hotel Industry: Conceptual Model...inventionjournals
Hotel industry can use social media to engage customers and clients in dialogue and recognize their needs. Through these networking sites, hotel industry can interact with consumers before, during, and after the vacation experience. Social media is relatively new and the advantages are abundance such as it is affordable, it is viral and has the potential to spread brand awareness quickly and far and it is said to be able to develop link baits, attention and massive amounts of traffic. The purpose of this study was to investigate benefit factors of member participation and the relationships between community participation and brand commitment in hotel online communities. The present study identified five benefit factors (functional, hedonic, monetary, and social and psychological benefits) as the predictors of member participation in hotel Facebook fan pages. Structural Equation Modeling (SEM) was used to test the conceptual model. Based on the results of SEM, the results indicated that four benefit factors (functional, hedonic, social and psychological benefits) positively influenced member's community participation. The findings of this study provide significant insights for the researchers and marketers. From the theoretical perspective, this is the first empirical research that investigated consumer benefits and responses (i.e., community participation and brand commitment) in online communities managed by hotel sector. Thus, the study contributes to the understanding of consumer behavior in social media. From the practical perspective, the study suggests some strategies to effectively design hotel Face book fan pages, which can strengthen the relationships with current consumers and attract potential consumers.
Determining Strategic Value of Online Social Engagementsinventionjournals
Over the past few decades social networking connections through individuals and open publishing in general have rapidly became a popular tool for maintaining relationships, communicating and expanding businesses. Individuals invest hours in building social capital and their social identify (SID) via online engagements. We present a methodology to quantify the multitude of artifacts that can be derived from online social engagements and develop a framework that measures the value of an individual's online social engagements. ASID value is used to deliver a score for each individual user; a score that will assist you in understanding your return on investment (ROI)and social capital from your online social networking activities. The framework creates a score to support and determine which specific engagements add and increase your personal value chain. This score can provide benefit to users for career, personal, and business opportunities.
It is essential for a business organization to get the customer feedback in order to grow as a company. Business organizations are collecting customer feedback using various methods. But the question is ‘are they efficient and effective?’ In the current context, there is more of a customer oriented market and all the business organizations are competing to achieve customer delight through their products and services. Social Media plays a huge role in one’s life. Customers tend to reveal their true opinion about certain brands on social media rather than giving routine feedback to the producers or sellers. Because of this reason, it is identified that social media can be used as a tool to analyze customer behavior. If relevant data can be gathered from the customers’ social media feeds and if these data are analyzed properly, a clear idea to the companies what customers really think about their brand can be provided.
There are various online networking sites such as Facebook, twitter where students casually discuss their educational
experiences, their opinions, emotions, and concerns about the learning process. Information from such open environment can
give valuable knowledge for opinions, emotions and help the educational organizations to get insight into students’ educational
life. Analysing down such data, on the other hand, can be challenging therefore a qualitative research and significant data
mining process needs to be done. Sentiment classification can be done using NLP (Natural Language Processing). For a social
network that provides micro blogging services such as twitter, the incoming tweets can be classified into News, Opinions,
Events, Deals and private Messages based on authors information available in the tweets. This approach is similar to
Tweetstand, which classifies the tweets into news and non-news. Even for e-commerce applications virtual customer
environments can be created using social networking sites. Since the data is ever growing, using data mining techniques can get
difficult, hence we can use data analysis tools
Social Network in marketing (Social Media Marketing) Opportunities and Risksijmpict
The most well-known social software applications are weblogs, wikis, social networking sites and instant messaging. Social networking at a high level is described as the convergence of technologies that make it possible for individuals to easily communicate, share information, and form new communities online. But the big question today is not what social networking is, but rather what it means for businesses.
Are Social Networking more persuasive than Traditional Word of MouthKUMAR GAURAV
In the present scenario of 21st century when every thing is changing so fast traditional things are losing its importance. This research is conducted to investigate and compare the reliability of recommendation made through social networking and traditional word of mouth.
Hypothesis-
H1- WOM and social networking influence the customer
purchase decision.
H2- Social networking recommendation are more reliable
than traditional WOM.
Major findings are-
-Consumers awareness towards Social Networking and traditional WOM is high.
-Social Network Marketing is more reliable that traditional WOM.
Suggestions-
-Companies should try to promote positive word about their products through social networking and WOM because traditional advertising id losing its effectiveness and due to increased consumerism.
-Companies should to use social networking efficiently to increase their market share because it is not only cost effective but reliable too.
-Quality should be maintained because consumer believe that spreading positive WOM and social networking is difficult because they are not controlled by the marketers and its possible only when product quality is good.
Impact of social branding on purchase intention: An empirical study of social...Sparkles Soft
Impact of social branding on purchase intention: An empirical study of social media websites.
Writer
Jahanzeb Khan
SPARKLES SOFT
www.sparklessoft.com
MobileWhatsApp/Viber: 00923004604250
00923124604250
Skype sparkles.soft
Vonage/Viber 00923004604250
thesis help, uk dissertation help, custom thesis writing in uk, uk mba thesis,
Determination of the Account Personal Data Adequacy of Web Community Member .............................. 1
Solomia Fedushko, Yuriy Syerov, Andriy Peleschyshyn and Korzh Roman
Layered Defense Approach: Towards Total Network Security............................................................13
Kalaivani Chellappan, Ahmed Shamil Mustafa, Mohammed Jabbar Mohammed and Aqeel Mezher
Thajeel
Millennials: Entitled Networking Business Leaders............................................................................23
Dr. Caroline Akhras
Modeling of Citizen Claims Processing by Means of Queuing System ................................................36
Oleksandr Markovets and Andriy Peleschychyn
Suggestions for Informational Influence on a Virtual Community ......................................................47
R. V. Huminskyi, A. M. Peleshchyshyn and Z. Holub
VoIP Security: Improving Quality of Service through the Analysis of Secured Transmission ...............66
Uchenna P. Daniel Ani and Mohammed Mustapha
Social media are basically web-based tools used for computer-mediated communication. It is a powerful tool that healthcare professionals can use to communicate and interact with patients. It has become an undeniable force that healthcare industry must reckon with. This paper provides a brief introduction on how, where, and why social media are being used in the health care sector. Matthew N. O. Sadiku | Nana K. Ampah | Sarhan M. Musa"Social Media in Healthcare" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15907.pdf http://www.ijtsrd.com/computer-science/world-wide-web/15907/social-media-in-healthcare/matthew-n-o-sadiku
User behavior model & recommendation on basis of social networks Shah Alam Sabuj
At present social networks play an important role to express people's sentiment and interest in a particular field. Extracting a user's public social network data (what the user shares with friends and relatives and how the user reacts over others' thought) means extracting the user's behavior. Defining some determined hypothesis if we make machine understand human sentiment and interest, it is possible to recommend a user about his/her personal interest on basis of the user's sentiment analyzed by machine. Our main approach is to suggest a user regarding the user's specific interest that is anticipated by analyzing the user's public data. This can be extended to further business analysis to suggest products or services of different companies depending on the consumer's personal choice. This automation will also help to choose the correct candidate for any questionnaire. This system will also help anyone to know about himself or herself, how one's behavior may influence others. It is possible to identify different types of people such as- dependable people, leadership skilled, people of supportive mentality, people of negative mentality etc.
Social Media and Social Media Marketing: A Literature Reviewiosrjce
Social media and social media marketing are sometimes used interchangeably, but two indeed are
different. The purpose of this research paper is to revisit the literature on both concepts and correlates them in
technical terminologies. We have studied the literature available on Social media first and identified the basic
functionalities of it. Then the literature available on social media marketing helped us in identifying its
dimensions. In conclusion section of the research paper we have correlated the two concepts and redefined
social media marketing in technical terms.
The Effects of Social Media Marketing In the Hotel Industry: Conceptual Model...inventionjournals
Hotel industry can use social media to engage customers and clients in dialogue and recognize their needs. Through these networking sites, hotel industry can interact with consumers before, during, and after the vacation experience. Social media is relatively new and the advantages are abundance such as it is affordable, it is viral and has the potential to spread brand awareness quickly and far and it is said to be able to develop link baits, attention and massive amounts of traffic. The purpose of this study was to investigate benefit factors of member participation and the relationships between community participation and brand commitment in hotel online communities. The present study identified five benefit factors (functional, hedonic, monetary, and social and psychological benefits) as the predictors of member participation in hotel Facebook fan pages. Structural Equation Modeling (SEM) was used to test the conceptual model. Based on the results of SEM, the results indicated that four benefit factors (functional, hedonic, social and psychological benefits) positively influenced member's community participation. The findings of this study provide significant insights for the researchers and marketers. From the theoretical perspective, this is the first empirical research that investigated consumer benefits and responses (i.e., community participation and brand commitment) in online communities managed by hotel sector. Thus, the study contributes to the understanding of consumer behavior in social media. From the practical perspective, the study suggests some strategies to effectively design hotel Face book fan pages, which can strengthen the relationships with current consumers and attract potential consumers.
Determining Strategic Value of Online Social Engagementsinventionjournals
Over the past few decades social networking connections through individuals and open publishing in general have rapidly became a popular tool for maintaining relationships, communicating and expanding businesses. Individuals invest hours in building social capital and their social identify (SID) via online engagements. We present a methodology to quantify the multitude of artifacts that can be derived from online social engagements and develop a framework that measures the value of an individual's online social engagements. ASID value is used to deliver a score for each individual user; a score that will assist you in understanding your return on investment (ROI)and social capital from your online social networking activities. The framework creates a score to support and determine which specific engagements add and increase your personal value chain. This score can provide benefit to users for career, personal, and business opportunities.
It is essential for a business organization to get the customer feedback in order to grow as a company. Business organizations are collecting customer feedback using various methods. But the question is ‘are they efficient and effective?’ In the current context, there is more of a customer oriented market and all the business organizations are competing to achieve customer delight through their products and services. Social Media plays a huge role in one’s life. Customers tend to reveal their true opinion about certain brands on social media rather than giving routine feedback to the producers or sellers. Because of this reason, it is identified that social media can be used as a tool to analyze customer behavior. If relevant data can be gathered from the customers’ social media feeds and if these data are analyzed properly, a clear idea to the companies what customers really think about their brand can be provided.
There are various online networking sites such as Facebook, twitter where students casually discuss their educational
experiences, their opinions, emotions, and concerns about the learning process. Information from such open environment can
give valuable knowledge for opinions, emotions and help the educational organizations to get insight into students’ educational
life. Analysing down such data, on the other hand, can be challenging therefore a qualitative research and significant data
mining process needs to be done. Sentiment classification can be done using NLP (Natural Language Processing). For a social
network that provides micro blogging services such as twitter, the incoming tweets can be classified into News, Opinions,
Events, Deals and private Messages based on authors information available in the tweets. This approach is similar to
Tweetstand, which classifies the tweets into news and non-news. Even for e-commerce applications virtual customer
environments can be created using social networking sites. Since the data is ever growing, using data mining techniques can get
difficult, hence we can use data analysis tools
Strategic impact of Social Media in tourism- Research paperAmbuj Saxena
In today's world, social media has made it convenient for people to search, book and plan their next trip at the click of a mouse button. This research paper, co-authored by Ambuj Saxena, Dr. GG Saxena, and Dr. Sajeevan Rao takes you through the travel enthusiast's online journey while booking a leisure trip.
How does the travel enthusiast make up his mind to travel using social media and which social media channels affect him the most and how? What are the social, psychological and hedonic effects while planning a trip using social media and how reliable, entertaining and valuable do tourists consider social media sites while planning a trip. These are some of the important questions and customer behavior being brought out through this research paper that was presented in Jammu University's 4th International Conference on Sustainable Destination Excellence with the theme: Empowering Communities for Inclusive Tourism Development.
If you wish to know the experience of presenting my research paper in Jammu University, you may access my blog post: http://wp.me/p8r6B6-jQ
Sources of inspiration:
http://www.pewinternet.org/fact-sheets/social-networking-fact-sheet/
www.adweek.com
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Understanding Online Consumer Purchase Behaviour for Varied Consumer Clusters...inventionjournals
: We are living in a digital age. The wave of digitalisation is in full swing to make its presence felt
in every sphere of life. It has not just challenged the geographical limitations narrowing the gaps between the
places that are situated faraway from each other and made the life easier with huge number of facilities but has
also influenced our attitudes and values. In such a situation, online shopping has started emerging as a popular
shopping option among urban and modernised consumers. Not all the consumers show similar trends while
using ecommerce. People of different clusters have different comfort zones as far as online shopping behaviour
is concerned. Product preferences vary with a change in demographics. Level of satisfaction is also different for
different set of consumers. Though window shopping is no longer an alien concept even for the internet
immigrants, purpose of use is certainly different for every age group. Literatures reveal that the attractive
features of the medium have tempted many researchers from time to time to throw light on lesser known areas
but there is still much to be explored. This paper is an endeavour to study about the potential of the medium to
market consumer electronics analysing in details the electronic shopping behaviour of different age groups. A
random survey has been conducted among the people of the age group of 19 – 35 (n – 100) and the samples
have been divided into four groups 19 – 22, 23 -26, 27 – 30 and 30 – 35. Reactions have been studied through
a questionnaire containing close ended questions. Analysis of data has been done through data graphs
The increasing role of social media has been recognized as an increasingly effective marketing tool for a broad section of enterprises. This paper highlights the first stage of the engagement strategy using social media for an academic laboratory, and provides an insight for others wishing to take advantage of the various social networking tools that are available. The lab engages with different constituencies such as students, faculty, and alumni, industrial and governmental agencies. As these constituents online presence is fragmented over a number of different social websites (Twitter™, LinkedIn™ for example), there is no longer an effective single point of contact to engage them. With that in mind, researchers in the lab created accounts on, and started using Twitter™, LinkedIn™ and SlideShare™. Data about site referrals to the BSPA Laboratory’s homepage was gathered using Google Analytics™, in order to analyze the effects (if any) that social networks might have in promotional activities and increased interaction with the BSPA Laboratory home page (http://www.bspalabs.org/). Although this paper is a preliminary report on a short term progress, the data shows the differences in unique visitors before and after becoming active in social networks and will show data linking specific social network with an effect.
Social media permeates nearly each facet of the individual’s and the whole society today. The
development in the social media is driven by the fact that it is the primary platform of choice
for sharing user-generated content - information, news, photos and videos. The unique
proliferation of social media communication platforms has annoyed the interest of
professional practice and academia. Several brand communities have been formed with the
help of social networking sites. The electronic social media such as Twitter, Facebook,
MySpace, etc. have came forward as databanks for market researchers. Going by the name of
social media monitoring (SMM), this approach basically involves automated content study to
understand perceptions and attitudes of customers. This paper argues for a place for
qualitative research methods in the study of social media by presenting the benefits of
adopting them as opposed to the rather limiting methodology of SMM. By systematically
comparing various research approaches, as well as entrenched methods and current designs,
this paper delineates three major differences between qualitative research and SMM which in
result gives the former greater soundness and genuineness than SMM. The paper concludes
that the non-mediated, interactive discourse or exchange between consumers and
researchers; the possibility of tracking latent unsaid stories of consumer needs and desires
that motivate their brand behaviour and preference and the rich, personal nature of
interviews that enable shared perceptions are the three compelling benefits of qualitative
research.
The Effect of Social Media Marketing To Brand Loyalty (Case Study at the Univ...inventionjournals
: Social media marketing is one medium that can be used to build and maintain brand loyalty. This study aims to determine the effect of campaigns advantageous offer, offer relevant contents, offer popular content, apprears on various platforms, offer applications on social media brand loyalty conducted at the University Budi Luhur, Jakarta. Data analysis used regression method with 325 respondents. The sampling technique used a proportional random sampling. Validity and reliability tests are used in testing instruments. The results of this study indicate that offer advantageous campaigns, offer relevant contents, offer popular content, apprears on various platforms, offer applications on social media has a significant influence on brand loyalty. The benefit of social media marketing is one of them as a customer relationship management. Suggestions for further research are able to use variables such as trust and service quality.
The Effect of Social Media Marketing To Brand Loyalty (Case Study at the Univ...inventionjournals
Social media marketing is one medium that can be used to build and maintain brand loyalty. This study aims to determine the effect of campaigns advantageous offer, offer relevant contents, offer popular content, apprears on various platforms, offer applications on social media brand loyalty conducted at the University Budi Luhur, Jakarta. Data analysis used regression method with 325 respondents. The sampling technique used a proportional random sampling. Validity and reliability tests are used in testing instruments. The results of this study indicate that offer advantageous campaigns, offer relevant contents, offer popular content, apprears on various platforms, offer applications on social media has a significant influence on brand loyalty. The benefit of social media marketing is one of them as a customer relationship management. Suggestions for further research are able to use variables such as trust and service quality
Social business intelligence Review and research d.docxadkinspaige22
Social business intelligence: Review and research
directions
Helena Giotia, Stavros T. Ponisb* and Nikolaos Panayiotoub
a Hellenic Open University, Greece
b School of Mechanical Engineering, Section of Industrial Management and Operations
Research, National Technical University Athens, Greece
Corresponding author (*): [email protected]
Received 14 June 2018 Accepted 20 August 2018
ABSTRACT Social business intelligence (SBI) is a rather novel discipline, emerged in the
academic and business literature as a result of the convergence of two distinct research
domains: business intelligence (BI) and social media. Traditional BI scientists and practitioners,
after an inevitable initial shock, are currently discovering and acknowledge the potential of user
generated content (UGD) published in social media as an invaluable and inexhaustible source
of information capable of supporting a wide range of business activities. The confluence of these
two emerging domains is already producing new added value organizational processes and
enhanced business capabilities utilized by companies all over the world to effectively harness
social media data and analyze them in order to produce added value information such as
customer profiles and demographics, search habits, and social behaviors. Currently the SBI
domain is largely uncharted, characterized by controversial definitions of terms and concepts,
fragmented and isolated research efforts, obstacles created by proprietary data, systems and
technologies that are not mature yet. This paper aspires to be one of the few -to our knowledge-
contemporary efforts to explore the SBI scientific field, clarify definitions and concepts,
structure the documented research efforts in the area and finally formulate an agenda of future
research based on the identification of current research shortcomings and limitations.
KEYWORDS Βig data, business intelligence, review, social business intelligence, social media
1. INTRODUCTION
In the last decade, business intelligence (BI)
has proved, beyond any doubt, that it is a
rapidly expanding domain in both research and
business terms with the number of BI related
scientific publications and organizations
embracing BI methodologies, techniques, tools
and platforms rapidly increasing year by year.
This remarkable growth is directly connected
with the abundance of customer/user data as a
result of increased bandwidth, technological
advancements in information systems and
mobile applications and the explosion of user
generated content mostly materialized by
social media and other Web 2.0 platforms.
Nowadays, social media and BI are converging
faster than ever before. The confluence of these
two emerging domains is already producing
new added value organizational processes and
enhanced business capabilities utilized by
companies all over the world to effectively
harness social media data and analyze them in
order to produ.
Social business intelligence Review and research d.docxgertrudebellgrove
Social business intelligence: Review and research
directions
Helena Giotia, Stavros T. Ponisb* and Nikolaos Panayiotoub
a Hellenic Open University, Greece
b School of Mechanical Engineering, Section of Industrial Management and Operations
Research, National Technical University Athens, Greece
Corresponding author (*): [email protected]
Received 14 June 2018 Accepted 20 August 2018
ABSTRACT Social business intelligence (SBI) is a rather novel discipline, emerged in the
academic and business literature as a result of the convergence of two distinct research
domains: business intelligence (BI) and social media. Traditional BI scientists and practitioners,
after an inevitable initial shock, are currently discovering and acknowledge the potential of user
generated content (UGD) published in social media as an invaluable and inexhaustible source
of information capable of supporting a wide range of business activities. The confluence of these
two emerging domains is already producing new added value organizational processes and
enhanced business capabilities utilized by companies all over the world to effectively harness
social media data and analyze them in order to produce added value information such as
customer profiles and demographics, search habits, and social behaviors. Currently the SBI
domain is largely uncharted, characterized by controversial definitions of terms and concepts,
fragmented and isolated research efforts, obstacles created by proprietary data, systems and
technologies that are not mature yet. This paper aspires to be one of the few -to our knowledge-
contemporary efforts to explore the SBI scientific field, clarify definitions and concepts,
structure the documented research efforts in the area and finally formulate an agenda of future
research based on the identification of current research shortcomings and limitations.
KEYWORDS Βig data, business intelligence, review, social business intelligence, social media
1. INTRODUCTION
In the last decade, business intelligence (BI)
has proved, beyond any doubt, that it is a
rapidly expanding domain in both research and
business terms with the number of BI related
scientific publications and organizations
embracing BI methodologies, techniques, tools
and platforms rapidly increasing year by year.
This remarkable growth is directly connected
with the abundance of customer/user data as a
result of increased bandwidth, technological
advancements in information systems and
mobile applications and the explosion of user
generated content mostly materialized by
social media and other Web 2.0 platforms.
Nowadays, social media and BI are converging
faster than ever before. The confluence of these
two emerging domains is already producing
new added value organizational processes and
enhanced business capabilities utilized by
companies all over the world to effectively
harness social media data and analyze them in
order to produ.
Literature Review of Information Behaviour on Social MediaDavid Thompson
Using your knowledge about information resource and skills in searching and evaluating information achieved in the first half of the semester, now you are required to choose a specific topic in the area of information research, explore the exisiting literature within this domain and write a literature review.
Similar to The Verification Of Virtual Community Member’s Socio-Demographic Profile (20)
Advanced Computing: An International Journal (ACIJ) is a peer-reviewed, open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and a practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing.
Call for Papers - Advanced Computing An International Journal (ACIJ) (2).pdfacijjournal
Submit your Research Papers!!!
Advanced Computing: An International Journal ( ACIJ )
ISSN: 2229 -6727 [Online] ; 2229 - 726X [Print]
Webpage URL: http://airccse.org/journal/acij/acij.html
Submission URL: http://coneco2009.com/submissions/imagination/home.html
Submission Deadline : April 08, 2023
Here's where you can reach us : acijjournal@yahoo.com or acij@aircconline
Advanced Computing: An International Journal (ACIJ
)
is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advancedcomputing. The journal focuses on all technical and practical aspects of high performancecomputing, green computing, pervasive computing, cloud computing etc. The goal of this journalis to bring together researchers anda practitioners from academia and industry to focus onunderstanding advances in computing and establishing new collaborations in these areas
Submit your Research Papers!!!
Advanced Computing: An International Journal ( ACIJ )
ISSN: 2229 -6727 [Online] ; 2229 - 726X [Print]
Webpage URL: http://airccse.org/journal/acij/acij.html
Submission URL: http://coneco2009.com/submissions/imagination/home.html
Here's where you can reach us : acijjournal@yahoo.com or acij@aircconline.com
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
4thInternational Conference on Machine Learning & Applications (CMLA 2022)acijjournal
4thInternational Conference on Machine Learning & Applications (CMLA 2022)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)acijjournal
7thInternational Conference on Data Mining & Knowledge Management (DaKM 2022)provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
3rdInternational Conference on Natural Language Processingand Applications (N...acijjournal
3rdInternational Conference on Natural Language Processing and Applications (NLPA 2022)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and its applications. The Conference looks for significant contributions to all major fieldsof the Natural Language processing in theoretical and practical aspects.
4thInternational Conference on Machine Learning & Applications (CMLA 2022)acijjournal
4thInternational Conference on Machine Learning & Applications (CMLA 2022)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Graduate School Cyber Portfolio: The Innovative Menu For Sustainable Developmentacijjournal
In today’s milieu, new demands and trends emerge in the field of Education giving teachers of Higher Education Institutions (HEI’s) no choice but to be innovative to cope with the fast changing technology. To be naturally innovative, a graduate school teacher needs to be technologically and pedagogically competent. One of the ways to be on this level is by creating his cyber portfolio to support students’ eportfolio for lifelong learning. Cyber portfolio is an innovative menu for teachers who seek out strategies to integrate technology in their lessons. This paper presents a straightforward preparation on how to innovate a cyber portfolio that has its practical and breakthrough solution against expensive and inflexible vended software which often saddle many universities. Additionally, this cyber portfolio is free and it addresses the 21st century skills of graduate students blended with higher order thinking skills, multiple intelligence, technology and multimedia.
Genetic Algorithms and Programming - An Evolutionary Methodologyacijjournal
Genetic programming (GP) is an automated method for creating a working computer program from a high-level problem statement of a problem. Genetic programming starts from a high-level statement of “what needs to be done” and automatically creates a computer program to solve the problem. In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user defined task. It is a specialization of genetic algorithms (GA) where each individual is a computer program. It is a machine learning technique used to optimize a population of computer programs according to a fitness span determined by a program's ability to perform a given computational task. This paper presents a idea of the various principles of genetic programming which includes, relative effectiveness of mutation, crossover, breeding computer programs and fitness test in genetic programming. The literature of traditional genetic algorithms contains related studies, but through GP, it saves time by freeing the human from having to design complex algorithms. Not only designing the algorithms but creating ones that give optimal solutions than traditional counterparts in noteworthy ways.
Data Transformation Technique for Protecting Private Information in Privacy P...acijjournal
Data mining is the process of extracting patterns from data. Data mining is seen as an increasingly important tool by modern business to transform data into an informational advantage. Data
Mining can be utilized in any organization that needs to find patterns or relationships in their data. A group of techniques that find relationships that have not previously been discovered. In many situations, the extracted patterns are highly private and it should not be disclosed. In order to maintain the secrecy of data,
there is in need of several techniques and algorithms for modifying the original data in order to limit the extraction of confidential patterns. There have been two types of privacy in data mining. The first type of privacy is that the data is altered so that the mining result will preserve certain privacy. The second type of privacy is that the data is manipulated so that the mining result is not affected or minimally affected. The aim of privacy preserving data mining researchers is to develop data mining techniques that could be
applied on data bases without violating the privacy of individuals. Many techniques for privacy preserving data mining have come up over the last decade. Some of them are statistical, cryptographic, randomization methods, k-anonymity model, l-diversity and etc. In this work, we propose a new perturbative masking technique known as data transformation technique can be used for protecting the sensitive information. An
experimental result shows that the proposed technique gives the better result compared with the existing technique.
Advanced Computing: An International Journal (ACIJ) acijjournal
Advanced Computing: An International Journal (ACIJ) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas.
E-Maintenance: Impact Over Industrial Processes, Its Dimensions & Principlesacijjournal
During the course of the industrial 4.0 era, companies have been exponentially developed and have
digitized almost the whole business system to stick to their performance targets and to keep or to even
enlarge their market share. Maintenance function has obviously followed the trend as it’s considered one
of the most important processes in every enterprise as it impacts a group of the most critical performance
indicators such as: cost, reliability, availability, safety and productivity. E-maintenance emerged in early
2000 and now is a common term in maintenance literature representing the digitalized side of maintenance
whereby assets are monitored and controlled over the internet. According to literature, e-maintenance has
a remarkable impact on maintenance KPIs and aims at ambitious objectives like zero-downtime.
10th International Conference on Software Engineering and Applications (SEAPP...acijjournal
10th International Conference on Software Engineering and Applications (SEAPP 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts and establishing new collaborations in these areas.
10th International conference on Parallel, Distributed Computing and Applicat...acijjournal
10th International conference on Parallel, Distributed Computing and Applications (IPDCA 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Parallel, Distributed Computing. Original papers are invited on Algorithms and Applications, computer Networks, Cyber trust and security, Wireless networks and mobile Computing and Bioinformatics. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
DETECTION OF FORGERY AND FABRICATION IN PASSPORTS AND VISAS USING CRYPTOGRAPH...acijjournal
In this paper, we present a novel solution to detect forgery and fabrication in passports and visas using
cryptography and QR codes. The solution requires that the passport and visa issuing authorities obtain a
cryptographic key pair and publish their public key on their website. Further they are required to encrypt
the passport or visa information with their private key, encode the ciphertext in a QR code and print it on
the passport or visa they issue to the applicant.
The issuing authorities are also required to create a mobile or desktop QR code scanning app and place it
for download on their website or Google Play Store and iPhone App Store. Any individual or immigration
authority that needs to check the passport or visa for forgery and fabrication can scan its QR code, which
will decrypt the ciphertext encoded in the QR code using the public key stored in the app memory and
displays the passport or visa information on the app screen. The details on the app screen can be
compared with the actual details printed on the passport or visa. Any mismatch between the two is a clear
indication of forgery or fabrication.
Discussed the need for a universal desktop and mobile app that can be used by immigration authorities and
consulates all over the world to enable fast checking of passports and visas at ports of entry for forgery
and fabrication.
Detection of Forgery and Fabrication in Passports and Visas Using Cryptograph...acijjournal
In this paper, wepresenta novel solution to detect forgery and fabrication in passports and visas using cryptography and QR codes. The solution requires that the passport and visa issuing authorities obtain a cryptographic key pair and publish their public key on their website. Further they are required to encrypt the passport or visa information with their private key, encode the ciphertext in a QR code and print it on the passport or visa they issue to the applicant.
The issuing authorities are also required to create a mobile or desktop QR code scanning app and place it for download on their website or Google Play Store and iPhone App Store. Any individual or immigration authority that needs to check the passport or visa for forgery and fabrication can scan its QR code, which will decrypt the ciphertext encoded in the QR code using the public key stored in the app memory and displays the passport or visa information on the app screen. The details on the app screen can be compared with the actual details printed on the passport or visa. Any mismatch between the two is a clear indication of forgery or fabrication.
Discussed the need for a universal desktop and mobile app that can be used by immigration authorities and consulates all over the world to enable fast checking of passports and visas at ports of entry for forgery and fabrication.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
The Verification Of Virtual Community Member’s Socio-Demographic Profile
1. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
DOI : 10.5121/acij.2013.4303 29
THE VERIFICATION OF VIRTUAL COMMUNITY
MEMBER’S SOCIO-DEMOGRAPHIC PROFILE
Fedushko Solomia1
, Peleschyshyn Oksana2
, Peleschyshyn Andriy1
, Syerov Yuriy1
1
Social Communications and Information Activities Department, Lviv Polytechnic
National University, Ukraine
felomia@gmail.com
2
Mathematical Modelling of Socio-Economic Processes Department, Ivan Franko
National University of Lviv, Ukraine
ABSTRACT
This article considers the current problem of investigation and development of method of web-members’
socio-demographic characteristics’ profile validation based on analysis of socio-demographic
characteristics. The topicality of the paper is determined by the necessity to identify the web-community
member by means of computer-linguistic analysis of their information track (all information about web-
community members, which posted on the Internet). The formal model of basic socio-demographic
characteristics of virtual communities’ member is formed. The algorithm of these characteristics
verification is developed.
KEY WORDS
Socio-demographic characteristic, community member, algorithm, model, personal data, validation.
1. INTRODUCTION
Web-communities [1,6] accumulated a huge database of contacts and profiles, which contain a lot
of information about the person. The auditorium of web-communities is a large number of people
regardless of age, gender, occupation, education, ethnicity, social status etc., who in order to
register need to fill in a form with their personal data [4]. Nowadays, the necessity of verifying of
web-community members’ personal data is the topical issue.
The value of this research lies in verifying basic socio-demographic characteristics (SDCh) of
communities’ member based on comprehensive analysis of information track of community
members which gives an opportunity to the identifying socio-demographic profile (SD profile) of
virtual community’s member [5]. Every socio-demographic characteristic of virtual community’s
member is determining by analysis of linguistic features in virtual community’s members
communication. The difference in style of writing posts by virtual community’s members is the
basis for developing effective methods of verifying of personal data in users account.
These issues have the greatest influence on efficiency rise of virtual communities functioning and
the level of data authenticity [8] in Web-members’ personal profiles. Solution to these problems
is possible by using computer-linguistic analysis of web-members’ posts.
The actual problem of modern web is "information noise" [3] – a huge amount of inexact,
incomplete and superficial information, which Internet users created on the Web.
2. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
30
To achieve the aim, the following research tasks should be fulfilled: to develop the algorithm for
authenticity verification of the socio-demographic characteristics of web-community’s members
and model of the basic socio-demographic characteristics of communities’ member.
Thus, computer-linguistic analysis of basic socio-demographic characteristics can be of essential
help to administrators and moderators to monitor and validate personal data provided by users of
the web-community. Also, this analysis improves the techniques of effective targeted advertising
campaign.
2. THE VERIFICATION OF VIRTUAL COMMUNITY MEMBER’S SOCIO-
DEMOGRAPHIC PROFILE
2.1. Definition of SDCh in different fields of science
Analysis of socio-demographic characteristics of virtual community’s member lies in the forming
socio-demographic profile's of web-community’s member. The notion “socio-demographic
characteristics” [5] is necessary to consider because these characteristics are base for formation of
SDP of web-community’s member. In social communication the SDCh are defined as a set of
basic characteristics of the account in web community.
The socio-demographic characteristics are provided by member of this web-community.
However, the authenticity of these data is always questionable.
In general, the socio-demographic characteristics include: age, gender, material security, position,
marital status, education level, profession and work experience, employment, location, religious
and political views, etc.
Thus, the socio-demographic characteristics are a set of social estimation criteria and important
parameters of human activity.
The notion of socio-demographic characteristics has a wide range of use in many sciences. Socio-
demographic characteristics are defined in various fields as important parameters.
The results of thorough analysis of using social-demographic characteristics in scientific
investigations are shown on Fig.1
Fig.1 Use of SDCh in the fields of science
3. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
31
Thus, the socio-demographic identity of community member various social communications of
global network study many fields of sciences [5]: sociology, psychology, culture, criminology,
management and economics, etc.
However, the fundamental application of this work will be implemented in the internet-
marketing. The authenticity of socio-demographic characteristics in the process of using online
advertisement has a important value.
2.2 Use of the SDCh in the internet marketing
The popularity of virtual communities among Internet users [7,8] causes the feasibility of using
communication capabilities of social media in various fields of human activity (by private users
and organizations).
Construction process of internet communications includes: determination of virtual communities
goal, choice of specific types of communities and methods of interaction. Adaptation of the
behaviours, methods of information dissemination and regulations of social media is an important
factor of influence on the effectiveness of communications and the attainability of goal.
Identifying socio-demographic characteristics of virtual communities’ members and taking these
characteristics into account in the communication process organization are essential.
The use of virtual communities in the marketing activities of the modern company has a positive
impact on company image and expands opportunities to promote the company.
The topical areas of internet marketing of a company are:
establishing the company representation in virtual communities and its positioning;
organization of customer support system and community of clients based on the website
of the company;
Internet advertising of the company, its website and products.
The realization of these areas is associated with virtual communities.
Nowadays almost every company that carries on actively marketing activities, has its own official
website and other related websites (for branding, social events, etc). The basic socio-demographic
characteristics of the target audience (the actual and potential consumers of products and services
of the company) in the design development and content websites creation are certainly taking into
consideration.
The main tasks for company management, as a system of representations in virtual communities:
establishment and regular updating of marketing materials in the form of posts and
discussions in communities;
tracking and responding to the development of discussions;
recording and monitoring of representative materials in social media.
The discussion style, content and form of information materials, which are located on the web
pages of communities, must comply with the general character of the communication process in
every social media. This is achieved because the company specialists in planning and
implementation of marketing activities in a virtual community considered the socio-demographic
characteristics of the participants.
4. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
32
The customers’ community organization around company is an effective creation method of the
consumers set. Consumers actively promote the company and its products, share experiences,
helping to improve the products and often provide a high level of mutual support (especially in
cases of high-tech products) and form the knowledge base for effective exploitation of company
products. The indication of the high level of confidence to the company and the popularity of its
products is the presence of an organized consumer’s community.
The implementation of customer support through virtual communities is realized by searching
and monitoring thoughts and communities members’ feedback on the company products.
Customers are posting their requests and applications in discussions. The responses to requests
and applications are often posted in the same discussion. The ability to actively search and
identify the needs and requests of web users, which previously did not handed over for processing
by the company, is essential. This approach significantly expands the company potential
regarding communication with users. Nevertheless, the presented approach is sufficiently
laborious.
The concept of leadership in the ideas field is often used to promote the sale and promotion of
new products, services and market research organization. Opinion leaders [2] – target buyers in
the market, who often give advice related to a category of products or services. Determining the
values of certain socio-demographic characteristics (such as level of education, professional
experience, etc.), which are peculiar features of the majority opinion leaders, is effective in
selection of virtual communities’ members, who influence on opinions of the others consumer
audience.
Thus, the employment of consumers groups in the popular Internet social networking to
organization the online-communication of company "friends" is a topical issue. During the work
with consumers in social networks have to be taken into account age and other specialized social
networks. During the work with consumers in social networks the age and other specialization
(age, gender and others) of social networks. Specialization of social networking is displayed on
the theme and style of discussion in thematic groups.
2.3 A formal model of basic socio-demographic characteristics of virtual
communities’ member
We introduce a formal model of the basic socio-demographic characteristics (SDCh) of virtual
communities’ member. Our SDCh model expresses the basic socio-demographic characteristics
as ordered set of reliable socio-demographic characteristics of virtual community’s member, and
is described by a mathematical equation. The socio-demographic characteristics model includes
only basic socio-demographic characteristics of virtual communities’ member, such as "age",
"sphere of activity", "gender" and "level of education". These socio-demographic characteristics
take into consideration, because it is useful for problem of internet-marketing.
5. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
33
Socio-demographic characteristics
Age
Sphere of
activity
Gender Education level
Fig.2 The structure of the investigated SDCh of virtual community member
The linguistic and communication indicators determine the community member belonging to a
particular set of socio-demographic characteristics.
Linguistic and communication indicators - special feature of language and communication of
online community’s member, which can be traced in his information track.
Researchers defined the information track as a set of all personal data of virtual community’s
member and the results of his communicative activity - the content, which is created by web
member. The socio-demographic characteristics model of member virtual community – socio-
demographic profile – describe as follows:
SDCh(U*)N
1jj USDChUSDP
, (1)
where
SDCh(U*)N
1jj USDCh
– ordered set of socio-demographic characteristics of community
member U*; NSDCh
(U*) – quantity of these characteristics of member U*.
In the particular case, a set of socio-demographic characteristics (see Fig.2) is described as:
Usphere,Ugend,Uedu,UageUSDCh , (2)
The "age"-SDCh of virtual community’s member age(U*) takes one of two values:
age(U*){"teenager"; "adult"}.
In conformity with mental human development at age stages in developmental psychology [4],
web-community members into two groups are distributed: "teenager" (from 6 to 17 years old) and
"adult" (18+ years old).
The "age"-SDCh value of virtual community’s member age (U *) is determined by the vector of
age indicators Age:
AgeN
1j
j UAgeAge
, (3)
6. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
34
where Agej(U*) – j-age-indicator of member U*, NAge
– quantity of age indicators.
The "education level"-SDCh of virtual community’s member edu(U*) takes one of two values:
edu(U*){"educated"; "nonliterate"}.
The distribution of "education level"-SDCh on the value realized on the basis of web content, that
created by the member of web-community. It allows to judge of the education level of community
member.
The "education level"-SDCh value of web member edu(U*) is determined by the vector of
education indicators Edu:
EduN
1j
j UEduEdu
, (4)
where Eduj(U*) – j-indicator of educational level, NEdu
– quantity of educational level indicators.
The "gender"-SDCh of virtual community’s member gend(U*) takes one of two values:
edu(U*){"man"; "woman"}.
Gender differentiation of virtual communities’ members defines "gender"-SDCh of community
members. The separation of the community members occurs according to biological
characteristic: "man" and "woman".
The "gender"-SDCh value of web member gend(U*) is determined by the vector of gender
indicators Gend:
GendN
1j
j UGendGend
, (5)
where Gendj(U*) – j-gender-indicator, NGend
– quantity of gender-indicators.
The "sphere of activity"-SDCh of virtual community’s member sphere(U*) takes one of two
values: sphere(U*){"technical"; "humanitarian"}.
This division of community member sphere of activity is effective in determination the probable
profession, hobbies and fields of activities of community’s member, namely, the sphere in which
the person is qualified.
The "sphere of activity"-SDCh value of web member sphere(U*) is determined by the vector of
indicators of sphere of activity Sphere:
Sphere
N
1j
j USphereSphere
, (6)
where Spherej(U*) – j-indicator of sphere of activity of web-community’s member U*, NSphere
–
quantity of sphere of activity indicators.
According to formal model of basic socio-demographic characteristics of virtual communities’
member, web-community’s member has characterized four socio-demographic characteristics.
Each socio-demographic characteristics of virtual community’s member takes two values, which
describe the community member. These data are the basis for developing an algorithm of the
verification of socio-demographic characteristics of virtual community’s member.
7. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
35
2.4 The algorithm for verification of socio-demographic characteristics
Analysis of information track (a set of all personal data of virtual community member and the
results of his communicative activity) of community members which take place according to
algorithm of validation of account data on web-community member allows to detect authenticity
level of data in web-members’ personal profiles.
Fig. 3 Block diagram of verification of SD Profile algorithm
8. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
36
Socio-demographic profile of virtual community’s member [5] – а set of significant socio-
demographic characteristics of web-community member.
Algorithm of verification of socio-demographic characteristics of web-community’s members is
presented on the Figure 3.
The idea of the algorithm contains the verifying and information analysis of the members’ data.
This algorithm is formed on the basis of specialized software which has been implemented in
work of “Lviv.Ridne Misto Web-forum” (see Fig. 4).
2.5 The practical results of verification of SD Profile algorithm
The result of the algorithm is classification of Web-forum members’ accounts which can helps an
administrator to arrange Web-forum members’ accounts, promptly monitored the personal data in
Web-forum members’ accounts and socio-demographic profile of virtual community’s member.
Fig. 4 Socio-demographic profiles of members “Lviv.Ridne Misto Web-forum”
The main aim of this work is to create the method of computer-linguistic analysis of web-
communities members’ information track.
Analysis of data verifying of members which will occur according to algorithm of verification of
socio-demographic characteristics of web-community’s members allows to detected level of
authenticity of data in web-members’ personal profiles and to separated members with reliable
and unreliable data.
Classification of web-forum members’ accounts into level of data reliability:
account with reliable information;
account data under suspicion;
account with inadequate information (pseudo user account).
9. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
37
Account with reliable information. Personal information which gives member in his account is
reliable or member changed it at the request of web-community administration which is sent
during computer-linguistic analysis. The communicative behaviour of the member conforms to all
web-community regulations.
Account data under suspicion. Not all personal data of web-members are reliable. The member
partially or completely ignored the request to change the incorrect information. All data changes
and communicative behaviour are monitored by web-community administration.
Account with inadequate information (Pseudo user account). The data in personal profile is
completely unauthentic. The web-forum member contravenes the web-community regulations.
The member profile is blocked / deleted or access to the web community is banned.
3. CONCLUSION
A question of urgent importance in the web-forum management and moderation is the
development of a new approach to data verification which gives community members when they
are resisted.
The method of personal data validation of the maximum amount of information of web-
community member is developed and basic foundation for computer-linguistic method of web-
forum members’ information track verification, which is based on linguistic analysis of web-
community content, is devised.
The issue of socio-demographic profile of virtual community’s member verifying is investigated.
The socio-demographic profile of virtual community’s member helps automatically administrated
and monitored the “Lviv.Ridne Misto Web-forum”.
Thus, this paper presents a new approach to developing computer-linguistic method of
community member identification by socio-demographic characteristics of web-community’s
members and identifying community members by means of computer-linguistic analysis of web-
communities members' information tracks.
REFERENCES
[1] Armstrong, A. and Hagel J. (1996) The Real Value of Online Communities. Harvard Business
Review, 74(3), 134-41.
[2] Bodendorf, F., Kaiser, C. (2009) Detecting Opinion Leaders and Trends in Online Social Networks, in
Association For Computing Machinary (ed.) CIKM-SWSM, 65-68.
[3] Carr, N. (2005) The amorality of Web 2.0. Rough type. Retrieved October 3, 2005 from
http://www.roughtype.com/ archives/2005/10/the_amorality_o.php.
[4] Fedushko, S. (2010) Disclosure of Web-members Personal Information in Internet. Conference
"Modern information technologies in economics, management and education", Lviv, 163-165.
[5] Fedushko, S. (2011) Peculiarities of definition and description of the socio-demographic
characteristics in social communication. Journal of the Lviv Polytechnic National University:
Computer Science and Information Technology, Lviv, NU LP, №694, 75-85.
[6] Ochoa, X., Duval, E. (2008) Quantitative analysis of user-generated content on the web. Proceedings
of the First International Workshop on Understanding Web Evolution. Beijing, China: Web Science
Research Initiative, 19-26.
[7] Carr, N. (2005) The amorality of Web 2.0. Rough type. Retrieved October 3, 2005 from
http://www.roughtype.com/ archives/2005/10/the_amorality_o.php.
[8] Peleschyshyn, A., Syerov, Yu. and Fedushko, S. (2010) Developing algorithm of registration and
validation of personal data on web-community member. Journal of the Lviv Polytechnic National
University: Computer Science and Information Technology, Lviv, (ed.) NU LP, №686, 238-244.
[8] Syerov,Yu. and Kravets R. (2009) Software for determination of behaviour patterns of web-forum
members. International Journal of Computing “Computing”, Ternopil, Vol. 8(2), 119-125.
10. Advanced Computing: An International Journal ( ACIJ ), Vol.4, No.3, May 2013
38
Authors
Solomia Fedushko
Solomia is PhD student and assistant at the Social Communications and Information
Activities Department of the Lviv Polytechnic National University in Ukraine. She holds a
Master’s degree in Applied Linguistics. Her current research interests are in internet
linguistics, social communications in Web, web-communities, web-community content
analysis. She has published numerous scientific articles.
Oksana Peleschyshyn
Oksana is a PhD student at Department of Mathematical modelling of socio-economic processes, Ivan
Franko National University of Lviv in Ukraine. Her research interests include marketing in online
communities.
Andriy Peleschyshyn
Andriy is Professor and Head of Social Communications and Information Activities
Department of the Lviv Polytechnic National University. He holds a Ph.D. from Lviv
Polytechnic National University. He has published numerous articles and books in the
areas of Global Information technology, social network position, web-mining
technologies, Social Communications and Information Activities.
Yuriy Syerov
Yuriy holds a master's degree in computer science or computer engineering, Lviv
Polytechnic National University. He holds a Ph.D. in technical sciences from Lviv
Polytechnic National University in Ukraine, in 2010. At the present moment: Associated
Professor at the Social Communications and Information Activities Department.
Scientific interests: web-communities, organization of web-communities, web-mining
technologies.