Online social networks (OSNs) have attracted billions of users, and play an important role in people's daily life. A user often has accounts on multiple OSN sites. In this paper, we study the emerging "cross-site linking" function, which is supported by many OSNs. Our study is based on Foursquare, a representative location-based social networking (LBSN) service. We conduct a data-driven analysis by using crawled public profiles of almost all (if not all) Foursquare users. Our analysis has shown that the cross-site linking function is widely adopted by Foursquare users, and the users who have enabled this function are more active than other users. We have also found that users who are more concerned with online privacy have a lower probability to enable the cross-site linking function. Besides analyzing crawled Foursquare user profiles, we further explore cross-site linking between Foursquare and other OSN sites, i.e., Facebook and Twitter. The study on "Foursquare-Facebook" linking indicates that users have a high probability to provide consistent information to different OSNs. Meanwhile, "Foursquare-Twitter" linking is used to demonstrate the usefulness of aggregating user-generated content across multiple OSN sites. We present a gender-based analysis of Twitter, which is made accurate by leveraging cross-site links between Foursquare and Twitter.
Authorization mechanism for multiparty data sharing in social networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
Week 4 slides from the class "Social Web 2.0" I taught at the University of Washington's Masters in Communication program in 2007. Most of the content is still very relevant today. Topics: Social networks, privacy.
Anatoliy Gruzd and Philip Mai
Workshop presented at the TTRA Annual International Conference in Quebec City (June 20, 2017)
https://2017ttraannualinternationalconfe.sched.com/event/9yCg/social-listening-how-to-do-it-and-how-to-use-it-veille-sociale-comment-faire-et-comment-lutiliser?iframe=no&w=100%&sidebar=no&bg=no
Il laboratorio aperto: limiti e possibilità dell’uso di Facebook, Twitter e Y...Manolo Farci
Intervento di Davide Bennato, Fabio Giglietto, Luca Rossi tenuto durante il convegno "Così vicini, così lontani: la via italiana aia social network" (26-27 Settembre Milano)
Authorization mechanism for multiparty data sharing in social networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
Week 4 slides from the class "Social Web 2.0" I taught at the University of Washington's Masters in Communication program in 2007. Most of the content is still very relevant today. Topics: Social networks, privacy.
Anatoliy Gruzd and Philip Mai
Workshop presented at the TTRA Annual International Conference in Quebec City (June 20, 2017)
https://2017ttraannualinternationalconfe.sched.com/event/9yCg/social-listening-how-to-do-it-and-how-to-use-it-veille-sociale-comment-faire-et-comment-lutiliser?iframe=no&w=100%&sidebar=no&bg=no
Il laboratorio aperto: limiti e possibilità dell’uso di Facebook, Twitter e Y...Manolo Farci
Intervento di Davide Bennato, Fabio Giglietto, Luca Rossi tenuto durante il convegno "Così vicini, così lontani: la via italiana aia social network" (26-27 Settembre Milano)
Social network has become so popular with overwhelming high rate of growth, due to this popularity the online social networks is facing the issues of spamming, which has leads to unsubstantial economic loss to this menace of spam and spammers activities. It has leads to uncontrollable dissemination of viruses and malwares, promotional ads, phishing, and scams. spam activities has enter a new dangerous dimension, the spammers have step up their games and tactics online social networks, it consumes large amounts of network bandwidth leading to less revenue and significant economic loss to both private and public sectors. From the previous scholars work on spammer classification taxonomy, various machine learning techniques have been extensively used to detect spam activities and spammers in online social networks. There are various classifier that are learn over content-based features extracted from the user's interactions and profiles to label them as spam/spammers or legitimate. But recently, new network structural bench mark features have been proposed for spammer detection task, but their importance using structural bench mark learning methods has not been extensively evaluated yet. In this research work, we evaluate the the metric performance of some structural bench mark learning methods using scientific and strategic approach based attributes extracted from an interaction network for the task of spammer detection in online social network.
Keynote address by Anatoliy Gruzd at the 2017 Altmetrics Conference in Toronto, Canada (Sep 27, 2017)
Abstract
Arguably, even the most innovative ideas take time to catch on. Ideas that seem obvious today, at one point were obscure oddities known only to a select few. Washing your hands, airbags in cars, the internet - none of these ideas were accepted immediately. New ideas need time to incubate, the process of switching from old ideas to new is not seamless nor is it linear. In today’s social media-connected world, even though ideas can spread quickly and more efficiently than ever before, they are now competing for attention with a multitude of other ideas, memes, tweets, snaps, YouTube videos and news (fake and real). Conceptually, if social media is a network of highways on which ideas and people travel, altmetrics are the billboard or traffic signs on these highways that can help interested parties to discover new ideas or re-discover ideas left on the side of the road. While often neglected, the above metaphor is meant to illuminate the important role of altmetrics for researchers, innovators and funders seeking to track the impacts of new ideas, as well as for the many idea consumers looking for emerging and novel insights.
This talk will outline the current state of altmetrics research and how altmetrics are being commonly calculated and used by different stakeholders. It will also explore the social network properties of ideas and how these properties might be used to customize altmetrics for different audiences and uses. The keynote will conclude by calling for the development of training strategies to provide learning opportunities for researchers and administrators from various fields to acquire necessary digital literacy skills so that they better understand how altmetrics are measured and how they can be interpreted for decision making. The keynote will also call on altmetrics developers and researchers to create algorithms and data collection strategies that are less prone to manipulation by the rapid rise of social bots.
Mining and Comparing Engagement Dynamics Across Multiple Social Media Platfor...The Open University
Understanding what attracts users to engage with social media content is important in domains such as market analytics, advertising, and community management.
To date, many pieces of work have examined engagement dynamics in isolated platforms with little consideration or assessment of how these dynamics might vary between disparate social media systems. Additionally, such explorations have often used different features and notions of engagement, thus rendering the cross-platform comparison of engagement dynamics limited. In this paper we define a common framework of engagement analysis and examine and compare engagement dynamics across five social media platforms: Facebook, Twitter, Boards.ie, Stack Overflow and the SAP Community Network. We define a variety of common features (social and content) to capture the dynamics that correlate with engagement in multiple social media platforms, and present an evaluation pipeline intended to enable cross-platform comparison. Our comparison results demonstrate the varying factors at play in different platforms, while also exposing several similarities.
Social media is now the place where people are gathering en masse to discuss the news with their friends, neighbors and complete strangers. This change in news consumers’ behavior is proving to be a challenge for local news, but it is also an opportunity. Users and system generated data from social media can also be a boon for content creators. This presentation will feature a case study showing how publishers can use social media analytics to gain insights into their audience and how to use this information to foster a stronger sense of community around their brand of journalism. The case study will focus on how to use Netlytic, a cloud-based social media analytics tool, to mine the public Facebook interactions of the readers of BlogTO, a regional, Canadian-based media outlet, to find out what their readers are interested in and what engages them.
An evaluation of the potential of Web 2.0 API's for social researchGhent University
Mechant, P. & Courtois, C. (2011). An evaluation of the potential of Web 2.0 API's for social research. In: COST Action ISO906 : New challenges and methodological innovations in European Media Audience Research, Zagreb, Croatia, 2011-04-07. 43-44.
Keynote at 4th International Symposium on Secuirty in Computing at Communicat...IIIT Hyderabad
With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and privacy issues on online social media. I will describe briefly some cool ongoing projects that we have: Twit-Digest, MultiOSN, Finding Nemo, OCEAN, Privacy in India, and Call Me MayBe. Many of our research work is made available for public use through tools or online services. Our work derives techniques from Data Mining, Text Mining, Statistics, Network Science, Public Policy, Complex networks, Human Computer Interaction, and Psychology. In particular, in this talk, I will focus on the following: (1) Twit-Digest is a tool to extract intelligence from Twitter which can be useful to security analysts. Twit-Digest is backed by award-winning research publications in international and national venues. (2) MultiOSN is a platform to analyze multiple OSM services to gain intelligence on a given topic / event of interest (2) OCEAN: Open source Collation of eGovernment data and Networks Here, we show how publicly available information on Government services can be used to profile citizens in India. This work obtained the Best Poster Award at Security and Privacy Symposium at IIT Kanpur, 2013 and it has gained a lot of traction in Indian media. (3) In Finding Nemo, given an identity in one online social media, we are interested in finding the digital foot print of the user in other social media services, this is also called digital identity stitching problem. This work is also backed by award-winning research publication. I will be more than happy to clarify, discuss, any of our work indetail, as required, after the talk.
Selfie Deaths (KillFies) and Distracted Driving: Social Computing, Machine L...IIIT Hyderabad
In this talk, I cover details about our Selfie Deaths research http://labs.precog.iiitd.edu.in/killfie/ I also cover our recent work on snapchat and distracted driving.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Privacy Perceptions and Gender Effects on Foursquare UsageJoshua M. Chang
Privacy is an increasing concern in the era of the social web. Foursquare, a social location sharing service, is a prime place for people to be “over-sharing” due to the nature of announcing their location to the community. The present study sought to further past research on foursquare check-in behavior, stranger friending and privacy, specifically between male and female genders.
Social network has become so popular with overwhelming high rate of growth, due to this popularity the online social networks is facing the issues of spamming, which has leads to unsubstantial economic loss to this menace of spam and spammers activities. It has leads to uncontrollable dissemination of viruses and malwares, promotional ads, phishing, and scams. spam activities has enter a new dangerous dimension, the spammers have step up their games and tactics online social networks, it consumes large amounts of network bandwidth leading to less revenue and significant economic loss to both private and public sectors. From the previous scholars work on spammer classification taxonomy, various machine learning techniques have been extensively used to detect spam activities and spammers in online social networks. There are various classifier that are learn over content-based features extracted from the user's interactions and profiles to label them as spam/spammers or legitimate. But recently, new network structural bench mark features have been proposed for spammer detection task, but their importance using structural bench mark learning methods has not been extensively evaluated yet. In this research work, we evaluate the the metric performance of some structural bench mark learning methods using scientific and strategic approach based attributes extracted from an interaction network for the task of spammer detection in online social network.
Keynote address by Anatoliy Gruzd at the 2017 Altmetrics Conference in Toronto, Canada (Sep 27, 2017)
Abstract
Arguably, even the most innovative ideas take time to catch on. Ideas that seem obvious today, at one point were obscure oddities known only to a select few. Washing your hands, airbags in cars, the internet - none of these ideas were accepted immediately. New ideas need time to incubate, the process of switching from old ideas to new is not seamless nor is it linear. In today’s social media-connected world, even though ideas can spread quickly and more efficiently than ever before, they are now competing for attention with a multitude of other ideas, memes, tweets, snaps, YouTube videos and news (fake and real). Conceptually, if social media is a network of highways on which ideas and people travel, altmetrics are the billboard or traffic signs on these highways that can help interested parties to discover new ideas or re-discover ideas left on the side of the road. While often neglected, the above metaphor is meant to illuminate the important role of altmetrics for researchers, innovators and funders seeking to track the impacts of new ideas, as well as for the many idea consumers looking for emerging and novel insights.
This talk will outline the current state of altmetrics research and how altmetrics are being commonly calculated and used by different stakeholders. It will also explore the social network properties of ideas and how these properties might be used to customize altmetrics for different audiences and uses. The keynote will conclude by calling for the development of training strategies to provide learning opportunities for researchers and administrators from various fields to acquire necessary digital literacy skills so that they better understand how altmetrics are measured and how they can be interpreted for decision making. The keynote will also call on altmetrics developers and researchers to create algorithms and data collection strategies that are less prone to manipulation by the rapid rise of social bots.
Mining and Comparing Engagement Dynamics Across Multiple Social Media Platfor...The Open University
Understanding what attracts users to engage with social media content is important in domains such as market analytics, advertising, and community management.
To date, many pieces of work have examined engagement dynamics in isolated platforms with little consideration or assessment of how these dynamics might vary between disparate social media systems. Additionally, such explorations have often used different features and notions of engagement, thus rendering the cross-platform comparison of engagement dynamics limited. In this paper we define a common framework of engagement analysis and examine and compare engagement dynamics across five social media platforms: Facebook, Twitter, Boards.ie, Stack Overflow and the SAP Community Network. We define a variety of common features (social and content) to capture the dynamics that correlate with engagement in multiple social media platforms, and present an evaluation pipeline intended to enable cross-platform comparison. Our comparison results demonstrate the varying factors at play in different platforms, while also exposing several similarities.
Social media is now the place where people are gathering en masse to discuss the news with their friends, neighbors and complete strangers. This change in news consumers’ behavior is proving to be a challenge for local news, but it is also an opportunity. Users and system generated data from social media can also be a boon for content creators. This presentation will feature a case study showing how publishers can use social media analytics to gain insights into their audience and how to use this information to foster a stronger sense of community around their brand of journalism. The case study will focus on how to use Netlytic, a cloud-based social media analytics tool, to mine the public Facebook interactions of the readers of BlogTO, a regional, Canadian-based media outlet, to find out what their readers are interested in and what engages them.
An evaluation of the potential of Web 2.0 API's for social researchGhent University
Mechant, P. & Courtois, C. (2011). An evaluation of the potential of Web 2.0 API's for social research. In: COST Action ISO906 : New challenges and methodological innovations in European Media Audience Research, Zagreb, Croatia, 2011-04-07. 43-44.
Keynote at 4th International Symposium on Secuirty in Computing at Communicat...IIIT Hyderabad
With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and privacy issues on online social media. I will describe briefly some cool ongoing projects that we have: Twit-Digest, MultiOSN, Finding Nemo, OCEAN, Privacy in India, and Call Me MayBe. Many of our research work is made available for public use through tools or online services. Our work derives techniques from Data Mining, Text Mining, Statistics, Network Science, Public Policy, Complex networks, Human Computer Interaction, and Psychology. In particular, in this talk, I will focus on the following: (1) Twit-Digest is a tool to extract intelligence from Twitter which can be useful to security analysts. Twit-Digest is backed by award-winning research publications in international and national venues. (2) MultiOSN is a platform to analyze multiple OSM services to gain intelligence on a given topic / event of interest (2) OCEAN: Open source Collation of eGovernment data and Networks Here, we show how publicly available information on Government services can be used to profile citizens in India. This work obtained the Best Poster Award at Security and Privacy Symposium at IIT Kanpur, 2013 and it has gained a lot of traction in Indian media. (3) In Finding Nemo, given an identity in one online social media, we are interested in finding the digital foot print of the user in other social media services, this is also called digital identity stitching problem. This work is also backed by award-winning research publication. I will be more than happy to clarify, discuss, any of our work indetail, as required, after the talk.
Selfie Deaths (KillFies) and Distracted Driving: Social Computing, Machine L...IIIT Hyderabad
In this talk, I cover details about our Selfie Deaths research http://labs.precog.iiitd.edu.in/killfie/ I also cover our recent work on snapchat and distracted driving.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Privacy Perceptions and Gender Effects on Foursquare UsageJoshua M. Chang
Privacy is an increasing concern in the era of the social web. Foursquare, a social location sharing service, is a prime place for people to be “over-sharing” due to the nature of announcing their location to the community. The present study sought to further past research on foursquare check-in behavior, stranger friending and privacy, specifically between male and female genders.
SharePoint Lesson #35: SP list creates Word-DocumentPeter Heffner
Create a MS-Word document from a SharePoint list. Great for printing personalised certificates for students. Needs SharePoint Designer for creating a workflow!
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
The power of the modern Web, which is frequently called the Social Web or Web 2.0, is frequently traced to the power of users as contributors of various kinds of contents through Wikis, blogs, and resource sharing sites. However, the community power impacts not only the production of Web content, but also the access to all kinds of Web content. A number of research groups worldwide explore what we call social information access techniques that help users get to the right information using “collective wisdom” distilled from actions of those who worked with this information earlier.
Social information access can be formally defined as a stream of research that explores methods for organizing users' past interaction with an information system (known as explicit and implicit feedback), in order to provide better access to information to the future users of the system. It covers a range of rather different systems and technologies from social navigation to collaborative filtering. An important feature of all social information access systems is self-organization. Social information access systems are able to work with little or no involvement of human indexers, organizers, or other kinds of experts. They are truly powered by a community of users. Due to this feature, social information access technologies are frequently considered as an alternative to the traditional (content-oriented) technologies. The goal of this tutorial is to provide an overview of the emerging social information access research stream and to provide some practical guidelines for building social information access systems.
PhD defense contributions:
Providing a study of human generated recommendation on Twitter and its effect.
García-Gavilanes et al. Follow My Friends This Friday! An Analysis of Human-generated Friendship Recommendations. SocInfo’13 [Best paper award]
Describing the evolution of user behavior over time regarding the content they generate.
García-Gavilanes et al. Who are my Audiences? A Study of the Evolution of Target Audiences in Microblogs. SocInfo’14
Describing differences and similarities of users across countries regarding the way people tweet and connect with others.
García-Gavilanes et al. Microblogging without Borders: Differences and Similarities. Websci’11.
w/ Poblete et al. Do All Birds Tweet the Same? Characterizing Twitter Around the World. In CIKM’11
Proposing how to combine anthropological studies of culture with large scale data.
Correlating how and when people tweet with dimensions of national culture and pace of life
García-Gavilanes et al. Cultural Dimensions in Twitter: Time, Individualism and Power. ICWSM’13 [Honorable mention]
Improving the prediction of the communication strength between users from different countries by taking into account several cultural and socio-economic indicators taken from diverse sources.
García-Gavilanes et al. Twitter ain’t Without Frontiers: Economic, Social, and Cultural Boundaries in International Communication. CSCW’14.
Apprehension of Youth towards Social Networking Sites: Two Sides of a CoinIJERA Editor
Social networking sites are wide area of research. Rapid growth in Technology and Human Resources provides us new platform to build social networks. Today it has become highest point of concern to be aware of social networking sites and built networks. Since few years Social networking site has become very popular. There are different social networking sites for different purpose fulfillment. Orkut fails in the race of Social Networking Sites as compare to facebook. Although Facebook came in existence later but able to attract more crowd. It is user-friendly. Everything which is developed as pros and cons it depends upon the user if they took advantage of technology and develops personality as well as build social networks or get involve themselves in illegal things such as hacking and use wrong sources. The advantages and disadvantages of the social networking sites are mentioned in this research paper.
An introduction to my approach as a social psychologist in the technology industry, with highlightsof of past projects and the trajectory of my research.
by Michael Lambur
This session outlines a process and tools for evaluating websites. The focus will be on identifying the purpose of the website, creating appropriate evaluation questions, and selecting appropriate tools to enhance website usability, determine website usage, and solicit feedback from users.
PREDICTING VENUES IN LOCATION BASED SOCIAL NETWORKcsandit
The circulation of the social networks and the evolution of the mobile phone devices has led to a
big usage of location based social networks application such as Foursquare, Twitter, Swarm
and Zomato on mobile phone devices mean that huge dataset which is containing a blend of
information about users behaviour’s, social society network of each users and also information
about each of venues, all these information available in mobile location recommendation
system .These datasets are much more different from those which is used in online recommender
systems, these datasets have more information and details about the users and the venues which
is allowing to have more clear result with much more higher accuracy of the analysing in the
result.
In this paper we examine the users behaviour’s and the popularity of the venue through a large
check-ins dataset from a location based social services, Foursquare: by using large scale
dataset containing both user check-in and location information .Our analysis expose across 3
different cities.On analysis of these dataset reveal a different mobility habits, preferring places
and also location patterns in the user personality. This information about the users behaviour’s
and each of the location popularity can be used to know the recommendation systems and to
predict the next move of the users depending on the categories that the users attend to visit and
according to the history of each users check-ins.
Predicting Venues in Location Based Social Network cscpconf
The circulation of the social networks and the evolution of the mobile phone devices has led to a
big usage of location based social networks application such as Foursquare, Twitter, Swarm
and Zomato on mobile phone devices mean that huge dataset which is containing a blend of
information about users behaviour’s, social society network of each users and also information
about each of venues, all these information available in mobile location recommendation
system .These datasets are much more different from those which is used in online recommender
systems, these datasets have more information and details about the users and the venues which
is allowing to have more clear result with much more higher accuracy of the analysing in the
result.
In this paper we examine the users behaviour’s and the popularity of the venue through a large
check-ins dataset from a location based social services, Foursquare: by using large scale
dataset containing both user check-in and location information .Our analysis expose across 3
different cities.On analysis of these dataset reveal a different mobility habits, preferring places
and also location patterns in the user personality. This information about the users behaviour’s
and each of the location popularity can be used to know the recommendation systems and to
predict the next move of the users depending on the categories that the users attend to visit and
according to the history of each users check-ins.
Putting Locative Technology in its Sense of PlaceGlen Farrelly
As we interact and learn about places, we bestow meaning on such places, forming the mental concept of a sense of place. Mobile devices and location-based services (LBS), a.k.a. locative media, may alter our everyday relationships of place. This paper reports on an exploratory survey study conducted on the elements that comprise sense of place and the role of (LBS). It was found that sense of place arises from diverse information sources, is multimodal and individualistic. Findings also suggest LBS can improve sense of place by enhancing people’s familiarity, personal engagement, and social connection to place. Respondents also identified barriers to their use of LBS.
Improving Workplace Safety Performance in Malaysian SMEs: The Role of Safety ...AJHSSR Journal
ABSTRACT: In the Malaysian context, small and medium enterprises (SMEs) experience a significant
burden of workplace accidents. A consensus among scholars attributes a substantial portion of these incidents to
human factors, particularly unsafe behaviors. This study, conducted in Malaysia's northern region, specifically
targeted Safety and Health/Human Resource professionals within the manufacturing sector of SMEs. We
gathered a robust dataset comprising 107 responses through a meticulously designed self-administered
questionnaire. Employing advanced partial least squares-structural equation modeling (PLS-SEM) techniques
with SmartPLS 3.2.9, we rigorously analyzed the data to scrutinize the intricate relationship between safety
behavior and safety performance. The research findings unequivocally underscore the palpable and
consequential impact of safety behavior variables, namely safety compliance and safety participation, on
improving safety performance indicators such as accidents, injuries, and property damages. These results
strongly validate research hypotheses. Consequently, this study highlights the pivotal significance of cultivating
safety behavior among employees, particularly in resource-constrained SME settings, as an essential step toward
enhancing workplace safety performance.
KEYWORDS :Safety compliance, safety participation, safety performance, SME
Buy Pinterest Followers, Reactions & Repins Go Viral on Pinterest with Socio...SocioCosmos
Get more Pinterest followers, reactions, and repins with Sociocosmos, the leading platform to buy all kinds of Pinterest presence. Boost your profile and reach a wider audience.
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Unlock TikTok Success with Sociocosmos..SocioCosmos
Discover how Sociocosmos can boost your TikTok presence with real followers and engagement. Achieve your social media goals today!
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Grow Your Reddit Community Fast.........SocioCosmos
Sociocosmos helps you gain Reddit followers quickly and easily. Build your community and expand your influence.
https://www.sociocosmos.com/product-category/reddit/
Enhance your social media strategy with the best digital marketing agency in Kolkata. This PPT covers 7 essential tips for effective social media marketing, offering practical advice and actionable insights to help you boost engagement, reach your target audience, and grow your online presence.
Your Path to YouTube Stardom Starts HereSocioCosmos
Skyrocket your YouTube presence with Sociocosmos' proven methods. Gain real engagement and build a loyal audience. Join us now.
https://www.sociocosmos.com/product-category/youtube/
Multilingual SEO Services | Multilingual Keyword Research | Filosemadisonsmith478075
Multilingual SEO services are essential for businesses aiming to expand their global presence. They involve optimizing a website for search engines in multiple languages, enhancing visibility, and reaching diverse audiences. Filose offers comprehensive multilingual SEO services designed to help businesses optimize their websites for search engines in various languages, enhancing their global reach and market presence. These services ensure that your content is not only translated but also culturally and contextually adapted to resonate with local audiences.
Visit us at -https://www.filose.com/
Surat Digital Marketing School is created to offer a complete course that is specifically designed as per the current industry trends. Years of experience has helped us identify and understand the graduate-employee skills gap in the industry. At our school, we keep up with the pace of the industry and impart a holistic education that encompasses all the latest concepts of the Digital world so that our graduates can effortlessly integrate into the assigned roles.
This is the place where you become a Digital Marketing Expert.
“To be integrated is to feel secure, to feel connected.” The views and experi...AJHSSR Journal
ABSTRACT: Although a significant amount of literature exists on Morocco's migration policies and their
successes and failures since their implementation in 2014, there is limited research on the integration of subSaharan African children into schools. This paperis part of a Ph.D. research project that aims to fill this gap. It
reports the main findings of a study conducted with migrant children enrolled in two public schools in Rabat,
Morocco, exploring how integration is defined by the children themselves and identifying the obstacles that they
have encountered thus far. The following paper uses an inductive approach and primarily focuses on the
relationships of children with their teachers and peers as a key aspect of integration for students with a migration
background. The study has led to several crucial findings. It emphasizes the significance of speaking Colloquial
Moroccan Arabic (Darija) and being part of a community for effective integration. Moreover, it reveals that the
use of Modern Standard Arabic as the language of instruction in schools is a source of frustration for students,
indicating the need for language policy reform. The study underlines the importanceof considering the
children‟s agency when being integrated into mainstream public schools.
.
KEYWORDS: migration, education, integration, sub-Saharan African children, public school
“To be integrated is to feel secure, to feel connected.” The views and experi...
Understanding Cross-site Linking in Online Social Networks
1. Understanding Cross-site Linking in
Online Social Networks
Yang Chen1, Chenfan Zhuang2, Qiang Cao1, Pan Hui3
1Duke University
2Tsinghua University
3Hong Kong University of Science and Technology
2. Motivation
• A number of OSN sites with different functionality
• It is quite common for an individual user to have
multiple accounts on different OSN sites.
– How to efficiently manage accounts on different OSNs?
2
Interact with friends Share breaking news
Job search Location-centric social interactions
3. The Cross-site Linking Function
The cross-site linking function allows a user to link her account on
one OSN site to her accounts on other OSN sites
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4. Cross-site Linking: Advantages
• Make cross-site content posting easy
– Help Foursquare users automatically post tips to Facebook and Twitter
• Avoid repeated efforts in social connection
establishment
– Import the contact list from other OSNs
• Provide more information of a user
– Visit the linked profiles on other OSNs
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5. Why Foursquare?
• A representative LBSN service, one of the
most popular OSN sites
– Foursquare app: customized discovery and
recommendation engine
– Swarm app: real-time location sharing with friends
• Supports the cross-site linking function
– A user can link his profile to Facebook/Twitter
• Every Foursquare user has a public profile
page (http://foursquare.com/user/ID/)
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6. Data Collection
• Goal: analyze the entire Foursquare user base
– To avoid the disadvantages of biased sampling
• Challenge: IP-based rate limiting
– Crowd crawling:100 crawlers around the United
States, each crawls one chunk of IDs
• Data
– Collected between Jul. 22th, 2014 and Jul. 29th, 2014
– Public profiles of 51.15 million Foursquare users
• Almost all (if not all) Foursquare users
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ID Gender Tips Checkins Friends Facebook Twitter …
123 male 5 28 10 15576473 eric_c …
7. Linking Options
Twitter Facebook Linking Option Percentage
Yes No TW only 3.82%
No Yes FB only 44.19%
Yes Yes FB+TW 11.96%
No No Neither 40.03%
• About 60% Foursquare users have enabled the cross-site
linking function
• 56.15% users have added their Facebook accounts
• 15.78% users have added their Twitter accounts
The cross-site linking function is widely used among Foursquare users
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Percentage Distribution of Linking Options
8. Group-based Analysis: Gender
Very little difference between male users and female users in
terms of the distribution of linking options
Gender options:
51.52% Male
42.92% Female
5.56% Rather not say
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9. Group-based Analysis: Country
Top four countries:
USA (27.61%)
Turkey (9.49%)
Indonesia (8.17%)
Brazil (7.04%)
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Country BRA IDN TUR USA
Percentage 82.25% 50.51% 80.33% 50.33%
Percentage of users that have enabled cross-site linking
10. Group-based Analysis: Activity
• Two factors: social connections and location-
centric activities (leaving tips, check-ins)
# of Friends # of Checkins and Tips Group Percentage
=0 =0 Zombies 28.23%
=0 >0 Loners 9.50%
>0 =0 Watchers 14.02%
>0 >0 Ordinary users 48.25%
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11. Group-based Analysis: Activity (cont.)
Most zombies/loners have not enabled cross-site linking, as they are socially isolated.
Watchers v.s. Orindary users
Watchers are less motivated to link to Twitter, as they don’t publish
73% watchers and 71% ordinary users have linked to Facebook (users from both
groups are connected with other Foursquare users)
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12. Behavioral Difference among Users with
Different Linking Options
• Users who have enabled the cross-site linking function are more “active”
– Cross-site linking will deliver published contents to more prospective audience
• “TW only” > “FB only”
– Publicly viewable tweets can be quickly spread through the Twitter network
– FB user status is only visible to friends by default (fewer possible audiences)
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13. User Privacy Concerns & Cross-site Linking
Profile
Picture
Gender Residential
Location
Last Name Biography
Enabled (%) 66.99% 94.44% 91.68% 94.61% 3.29%
Disabled (%) 33.01% 5.56% 8.32% 5.39% 96.71%
In Foursquare, users can customize their profiles according to privacy concerns (a
user can choose whether to enable an optional field)
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Alice’s Foursquare Profile
Alice’s Facebook Profile
Alice’s Twitter Profile
More
information
about Alice!!
Intuitively, cross-site linking might cause concerns for users
who care a lot about their privacy.
14. User Privacy Concerns & Cross-site Linking (cont.)
Whether or not uploading personalized profile photo is an indicator for the
adoption of cross-site linking
Enabling any of the five optional field indicates a higher probability of using
the cross-site linking function
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15. Cross-site Information Consistency
First Name Last Name Gender
Percentage of users who have entered
identical information in a selected filed
89.84% 87.02% 99.30%
Cross-site Information Consistency (“Foursquare-Facebook”)
Users have a high probability to manifest cross-site information consistency
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A user might choose to expose the same or different personal
information on different sites
16. Cross-site Information Aggregation
User
Info
Foursquare Twitter
ID Gender Tips … ID Tweets Lists …
USER A 1 m 10 … 1982 100 17 …
USER B 2 f 20 … 34 5 0 …
USER C 5 f 0 … 19903 20 1 …
USER D 9 m 7 … 563122 7 4 …
… … … … … … … … …
• Aggregate the information of the same user from different
OSN sites (learn more about a user)
• Applications: friend suggestion, point-of-interest
recommendation, personalized advertising, …
• Example: gender-based analysis of Twitter
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17. Gender-based Analysis of Twitter
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Female users publish more tweets Male users are involved in more lists
18. Gender-based Analysis of Twitter (cont.)
URL Description Location
Male 32.07% 62.82% 56.87%
Female 25.02% 64.73% 57.35%
The Use of Optional Fields (%)
Male users have a higher probability to add a URL
Both male and female users have a nearly 63%
probability of adding a description, and a nearly 57%
probability to add the location information.
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19. Related Work
• Cross-OSN linking papers
– Ottoni et al. [ICWSM 2014]: Pinterest-Twitter linking
– Chen et al. [WOSN 2012]: Google+
– Both of them used biased sampling methods, while our study is
based on the entire Foursquare user population
• Wang et al. [IEEE Internet Computing, 2014] compared a series of
user activities across Foursquare, Facebook, and Twitter
– We focus on the cross-site linking function
• Goga et al. [WWW 2013], Liu et al. [SIGMOD 2014] investigated
how to identify accounts on different OSNs that all are
owned by the same user
– Useful for the OSN sites which do not support the cross-site
linking function
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20. Conclusion
• About 60% of Foursquare users have enabled the cross-
site linking function, and these users are more active
than other users
• Adding contents to an optional field indicates a higher
probability of activating the cross-site linking function
• If a Foursquare user has linked his account to
Facebook, he will have a high chance to provide
consistent information to both Foursquare and
Facebook
• The use of cross-site information aggregation helps us
investigate the gender difference in using Twitter
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21. Future Work
• Investigate cross-site links among more
mainstream OSN sites
– Discover general patterns to characterize cross-OSN
links
• A volunteer-based study
– Access the non-publicly viewable data (e.g.: check-in
history) a deeper investigation into cross-site
information aggregation
• Build practical services/applications based on
cross-site links
– Malicious account detection
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Editor's Notes
Let’s do a quick review of the related work. There are some cross-site linking papers, studying the Pinterest-Twitter linking, and the links between Google+ and other OSNs. Both of them used biased sampling methods. Differently, our study is based on the entire Foursquare user base, and we avoid the disadvantages of the biased sampling. Also, Wang et al. compared a series of user activities, and we focus on the cross-site linking function. Also, some researchers have investigated how to identify accounts on different OSNs that all are owned by the same user. Their methods are useful for OSN sites which do not support the cross-site linking function.