Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
.NET
EMBEDDED SYSTEMS
ROBOTICS
MECHANICAL
MATLAB etc
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Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Se...ijtsrd
Online Social Networks OSNs are providing a diversity of application for human users to network through families, friends and even strangers. One of such application, friend search engine, allows the universal public to inquiry individual client friend lists and has been gaining popularity recently. Proper design, this application may incorrectly disclose client private relationship information. Existing work has a privacy perpetuation clarification that can effectively boost OSNs' sociability while protecting users' friendship privacy against attacks launched by individual malicious requestors. In this project proposed an advanced collusion attack, where a victim user's friendship privacy can be compromise from side to side a series of cautiously designed queries coordinately launched by multiple malicious requestors. The result of the proposed collusion attack is validate through synthetic and real world social network data sets. The project on the advanced collusion attacks will help us design a more vigorous and securer friend search engine on OSNs in the near future. R. Brintha | H. Parveen Bagum "Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Search Engine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31687.pdf Paper Url :https://www.ijtsrd.com/computer-science/world-wide-web/31687/retrieving-hidden-friends-a-collusion-privacy-attack-against-online-friend-search-engine/r-brintha
A COMPREHENSIVE STUDY ON DATA EXTRACTION IN SINA WEIBOijaia
With the rapid growth of users in social networking services, data is generated in thousands of terabytes
every day. Practical frameworks for data extraction from social networking sites have not been well
investigated yet. In this paper, a methodology for data extraction with respect to Sina Weibo is discussed.
In order to design a proper method for data extraction, the properties of complex networks and the
challenges when extracting data from complex networks are discussed first. Then, the reason for choosing
Sina Weibo as the data source is given. After that, the methods for data gathering are introduced and the
techniques for data sampling and data clean-up are discussed. Over 1 million users and hundreds of
millions of social relations between them were extracted from Sina Weibo using the methods proposed in
this paper.
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.
Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Se...ijtsrd
Online Social Networks OSNs are providing a diversity of application for human users to network through families, friends and even strangers. One of such application, friend search engine, allows the universal public to inquiry individual client friend lists and has been gaining popularity recently. Proper design, this application may incorrectly disclose client private relationship information. Existing work has a privacy perpetuation clarification that can effectively boost OSNs' sociability while protecting users' friendship privacy against attacks launched by individual malicious requestors. In this project proposed an advanced collusion attack, where a victim user's friendship privacy can be compromise from side to side a series of cautiously designed queries coordinately launched by multiple malicious requestors. The result of the proposed collusion attack is validate through synthetic and real world social network data sets. The project on the advanced collusion attacks will help us design a more vigorous and securer friend search engine on OSNs in the near future. R. Brintha | H. Parveen Bagum "Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Search Engine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31687.pdf Paper Url :https://www.ijtsrd.com/computer-science/world-wide-web/31687/retrieving-hidden-friends-a-collusion-privacy-attack-against-online-friend-search-engine/r-brintha
A COMPREHENSIVE STUDY ON DATA EXTRACTION IN SINA WEIBOijaia
With the rapid growth of users in social networking services, data is generated in thousands of terabytes
every day. Practical frameworks for data extraction from social networking sites have not been well
investigated yet. In this paper, a methodology for data extraction with respect to Sina Weibo is discussed.
In order to design a proper method for data extraction, the properties of complex networks and the
challenges when extracting data from complex networks are discussed first. Then, the reason for choosing
Sina Weibo as the data source is given. After that, the methods for data gathering are introduced and the
techniques for data sampling and data clean-up are discussed. Over 1 million users and hundreds of
millions of social relations between them were extracted from Sina Weibo using the methods proposed in
this paper.
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.
Comprehensive Social Media Security Analysis & XKeyscore Espionage TechnologyCSCJournals
Social networks can offer many services to the users for sharing activities events and their ideas. Many attacks can happened to the social networking websites due to trust that have been given by the users. Cyber threats are discussed in this paper. We study the types of cyber threats, classify them and give some suggestions to protect social networking websites of variety of attacks. Moreover, we gave some antithreats strategies with future trends.
Social Network Analysis power point presentation Ratnesh Shah
Basics of social network analysis,Application and also explain interesting study done by facebook , twitter, youtube and many more social media network ,slide contains some of interesting study to get knowledge about online social network analysis.
The World Wide Web is booming and radically vibrant due to the well established standards and widely accountable framework which guarantees the interoperability at various levels of the application and the society as a whole. So far, the web has been functioning at the random rate on the basis of the human intervention and some manual processing but the next generation web which the researchers called semantic web, edging for automatic processing and machine-level understanding. The well set notion, Semantic Web would be turn possible if only there exists the further levels of interoperability prevails among the applications and networks. In achieving this interoperability and greater functionality among the applications, the W3C standardization has already released the well defined standards such as RDF/RDF Schema and OWL. Using XML as a tool for semantic interoperability has not achieved anything effective and failed to bring the interconnection at the larger level. This leads to the further inclusion of inference layer at the top of the web architecture and its paves the way for proposing the common design for encoding the ontology representation languages in the data models such as RDF/RDFS. In this research article, we have given the clear implication of semantic web research roots and its ontological background process which may help to augment the sheer understanding of named entities in the web.
Uma visão geral sobre Reality Mining e pesquisas que foram e estão sendo desenvolvidas neste contexto. O conteúdo dos slides foram extraídos dos estudos e experimentos do MIT Media Lab (http://hd.media.mit.edu/) dirigido pelo Prof. Alex Pentland
Profiling User Interests on the Social Semantic WebFabrizio Orlandi
Fabrizio Orlandi's PhD Viva @Insight NUI Galway (ex-DERI) - 31/03/2014.
Supervisors: Alexandre Passant and John G. Breslin.
Examiners: Fabien Gandon and Stefan Decker
Categorize balanced dataset for troll detectionvivatechijri
As we know cyber bullying is increasing day by day and Cyber troll is one of the cyber-aggressive actions that is not much different from cyberbullying in online abuse so that the victims feel uncomfortable. One of the most used social media platforms in which cyber trolling frequently happens is Twitter. Basically, it is found that during an investigation of cyberbullying cases a lot of information gathered is false which aims to give discomfort, hatred and waste lots of time. So, it is necessary to classify between cyberbullying tweets and normal tweets on twitter. There has already been research on classification of cyberbullying tweets and normal tweets using the Support vector machine (SVM) algorithm. But the drawback of the system is that it only gives 63.83% of accuracy. Firstly, we can improve the accuracy of the system by using the Recurrent Neural Network (RNN) And Secondly, for balancing the dataset we will be using Synthetic Minority Over-sampling Technique (SMOTE). We believe that using these techniques we will be able to increase the accuracy of the previous proposed.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Slides for talk at ConTech 2011 the International Symposium on Convergence Technology (ConTech 2011) – Smart & Humane World – on November 3rd in Seoul, South Korea.
Date: 2011 November 3 (Thurs)
Place: COEX Grand Ballroom, Seoul, Korea
Organized by Advanced Institutes of Convergence Technologies (AICT), Seoul National University (SNU)
In Cooperation with Ministry of Knowledge Economy, Ministry of Education, Science and Technology, National Research Foundation of Korea, Graduate School of Convergence Science and Technology (GSCST)
Comprehensive Social Media Security Analysis & XKeyscore Espionage TechnologyCSCJournals
Social networks can offer many services to the users for sharing activities events and their ideas. Many attacks can happened to the social networking websites due to trust that have been given by the users. Cyber threats are discussed in this paper. We study the types of cyber threats, classify them and give some suggestions to protect social networking websites of variety of attacks. Moreover, we gave some antithreats strategies with future trends.
Social Network Analysis power point presentation Ratnesh Shah
Basics of social network analysis,Application and also explain interesting study done by facebook , twitter, youtube and many more social media network ,slide contains some of interesting study to get knowledge about online social network analysis.
The World Wide Web is booming and radically vibrant due to the well established standards and widely accountable framework which guarantees the interoperability at various levels of the application and the society as a whole. So far, the web has been functioning at the random rate on the basis of the human intervention and some manual processing but the next generation web which the researchers called semantic web, edging for automatic processing and machine-level understanding. The well set notion, Semantic Web would be turn possible if only there exists the further levels of interoperability prevails among the applications and networks. In achieving this interoperability and greater functionality among the applications, the W3C standardization has already released the well defined standards such as RDF/RDF Schema and OWL. Using XML as a tool for semantic interoperability has not achieved anything effective and failed to bring the interconnection at the larger level. This leads to the further inclusion of inference layer at the top of the web architecture and its paves the way for proposing the common design for encoding the ontology representation languages in the data models such as RDF/RDFS. In this research article, we have given the clear implication of semantic web research roots and its ontological background process which may help to augment the sheer understanding of named entities in the web.
Uma visão geral sobre Reality Mining e pesquisas que foram e estão sendo desenvolvidas neste contexto. O conteúdo dos slides foram extraídos dos estudos e experimentos do MIT Media Lab (http://hd.media.mit.edu/) dirigido pelo Prof. Alex Pentland
Profiling User Interests on the Social Semantic WebFabrizio Orlandi
Fabrizio Orlandi's PhD Viva @Insight NUI Galway (ex-DERI) - 31/03/2014.
Supervisors: Alexandre Passant and John G. Breslin.
Examiners: Fabien Gandon and Stefan Decker
Categorize balanced dataset for troll detectionvivatechijri
As we know cyber bullying is increasing day by day and Cyber troll is one of the cyber-aggressive actions that is not much different from cyberbullying in online abuse so that the victims feel uncomfortable. One of the most used social media platforms in which cyber trolling frequently happens is Twitter. Basically, it is found that during an investigation of cyberbullying cases a lot of information gathered is false which aims to give discomfort, hatred and waste lots of time. So, it is necessary to classify between cyberbullying tweets and normal tweets on twitter. There has already been research on classification of cyberbullying tweets and normal tweets using the Support vector machine (SVM) algorithm. But the drawback of the system is that it only gives 63.83% of accuracy. Firstly, we can improve the accuracy of the system by using the Recurrent Neural Network (RNN) And Secondly, for balancing the dataset we will be using Synthetic Minority Over-sampling Technique (SMOTE). We believe that using these techniques we will be able to increase the accuracy of the previous proposed.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Slides for talk at ConTech 2011 the International Symposium on Convergence Technology (ConTech 2011) – Smart & Humane World – on November 3rd in Seoul, South Korea.
Date: 2011 November 3 (Thurs)
Place: COEX Grand Ballroom, Seoul, Korea
Organized by Advanced Institutes of Convergence Technologies (AICT), Seoul National University (SNU)
In Cooperation with Ministry of Knowledge Economy, Ministry of Education, Science and Technology, National Research Foundation of Korea, Graduate School of Convergence Science and Technology (GSCST)
Stellungnahme zu Kostenunterschieden der ganzen Lagerkonzeption als Folge unterschiedlicher Erschliessungsvarianten eines Tiefenlagers (z.B. Rampe und zwei Schächte versus drei Schächte).
Na quarta edição do evento Meritt CC, Aishameriane <aisha@meritt.com.br> incentivou todo mundo a cuidar melhor do dinheiro.
A palestra, que extrapola os benefícios empresarias e ajuda cada um no seu dia-a-dia, trouxe tópicos como os problemas do cartão de crédito, cheque especial, diversas formas de investimento e mais.
Talvez com estas dicas os meritts tenham um natal melhor esse ano.
Abschlußvortrag zu der semantisch gestützten freien Oberflächenkomposition des Mediendemonstrators im Rahmen des SENSE-Forschungsprojektes (www.sense-projekt.de) .
Sampling of User Behavior Using Online Social NetworkEditor IJCATR
The popularity of online networks provides an opportunity to study the characteristics of online social network graphs is important, both to improve current systems and to design new application of online social networks. Although personalized search has been proposed for many years and many personalization strategies have been investigated, it is still unclear whether personalization is consistently effective on different queries for different users, and under different search contexts. In this paper, we study performance of information collection in a dynamic social network. By analyzing the results, we reveal that personalized search has significant improvement over common web search.
The mixing time of thee sampling process strongly depends on the characteristics of the graph.
Online social network mining current trends and research issueseSAT 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
2010 Catalyst Conference - Trends in Social Network AnalysisMarc Smith
Review of trends related to social network analysis in the enterprise. Presented at the 2010 Catalyst Conference in San Diego, CA july 29, 2010. Presented with Mike Gotta, Gartner Group.
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Current trends of opinion mining and sentiment analysis in social networkseSAT 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
Content Based Message Filtering For OSNS Using Machine Learning ClassifierIJMER
Online social networking(OSNs) sites like Twitter, Orkut, YouTube, and Face book are among
the most popular sites on the Internet. Users of these web sites forms a social network, which provides a
powerful means of sharing, organizing, and finding useful information .Unlike web information , the
Online social networks (OSN) are organized around more number of users joins the network, shares their
information and create the links to communicate with other online users. The resulting social network
sites provides a basis for maintaining social relationships, for finding users with similar interests, and for
locating content and knowledge that has been contributed or endorsed by other users. In OSNs
information filtering can be used for avoiding the unwanted messages sharing or commenting on the user
Walls. In this paper, we have proposed a system to filter undesired messages from OSN walls. The system
exploits a machine learning soft classifier to enforce customizable content-dependent FRs. Moreover, the
flexibility of the proposed system in terms of filtering options is enhanced through the management of
BLs.
International Refereed Journal of Engineering and Science (IRJES) is a peer reviewed online journal for professionals and researchers in the field of computer science. The main aim is to resolve emerging and outstanding problems revealed by recent social and technological change. IJRES provides the platform for the researchers to present and evaluate their work from both theoretical and technical aspects and to share their views.
CROSS-PLATFORM IDENTIFICATION OF ANONYMOUS IDENTICAL USERS IN MULTIPLE SOCIAL...Nexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Supporting efficient and scalable multicastingingenioustech
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Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
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Ingenious Techno Solution
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http://www.ingenioustech.in/
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
.NET
EMBEDDED SYSTEMS
ROBOTICS
MECHANICAL
MATLAB etc
For further details contact us:
enquiry@ingenioustech.in
044-42046028 or 8428302179.
Ingenious Techno Solution
#241/85, 4th floor
Rangarajapuram main road,
Kodambakkam (Power House)
http://www.ingenioustech.in/
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
.NET
EMBEDDED SYSTEMS
ROBOTICS
MECHANICAL
MATLAB etc
For further details contact us:
enquiry@ingenioustech.in
044-42046028 or 8428302179.
Ingenious Techno Solution
#241/85, 4th floor
Rangarajapuram main road,
Kodambakkam (Power House)
http://www.ingenioustech.in/
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
.NET
EMBEDDED SYSTEMS
ROBOTICS
MECHANICAL
MATLAB etc
For further details contact us:
enquiry@ingenioustech.in
044-42046028 or 8428302179.
Ingenious Techno Solution
#241/85, 4th floor
Rangarajapuram main road,
Kodambakkam (Power House)
http://www.ingenioustech.in/
Impact of le arrivals and departures on bufferingenioustech
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
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Ingenious Techno Solution
#241/85, 4th floor
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http://www.ingenioustech.in/
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
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Ingenious Techno Solution
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Efficient computation of range aggregatesingenioustech
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Ingenious Techno Solution
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http://www.ingenioustech.in/
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
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Ingenious Techno Solution
#241/85, 4th floor
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http://www.ingenioustech.in/
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
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For further details contact us:
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044-42046028 or 8428302179.
Ingenious Techno Solution
#241/85, 4th floor
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http://www.ingenioustech.in/
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
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Ingenious Techno Solution
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Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
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Ingenious Techno Solution
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Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
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Ingenious Techno Solution
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Dear Students
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Ingenious Techno Solution
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On the quality of service of crash recoveryingenioustech
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It auditing to assure a secure cloud computingingenioustech
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A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
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Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
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Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
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How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
1. GUEST EDITORIAL
Online Social Networks
Michalis Faloutsos Thomas Karagiannis Sue Moon
T he popularity and complexity of online social net-
works (OSNs) continues to grow unabatedly with the
most popular applications featuring hundreds of mil-
lions of active users. Ranging from social communities and
discussion groups, to recommendation engines, tagging sys-
• User activity: What are the characteristics of user online
time in popular OSNs?
• Population of online services: How can we model,
describe, and sample OSNs when they are dynamic and
large, and obtaining a complete snapshot is often impos-
tems, mobile social networks, games, and virtual worlds, sible?
OSN applications have not only shifted the focus of appli- • Profile characterization: How do people use OSNs, can
cation developers to the human factor, but have also trans- we reverse engineer behavior, and can we identify pro-
formed traditional application paradigms such as the way files based, say, on gender?
users communicate and navigate in the Internet. Indeed, In the first article of this issue, Yang et al. explore the
understanding user behavior is now an integral part of problem of modeling human mobility by exploiting under-
online services and applications, with system and algorithm lying social norms. The authors’ key insight is that individu-
design becoming in effect user-centric. As expected, this al people’s movements depend on their social interactions;
paradigm shift has not left the research community unaf- as a result, the social network consists of overlapping com-
fected, triggering intense research interest in the analysis of munities. However, instead of forming or detecting com-
the structure and properties of online communities. munities in generated graphs, the authors propose a
While the first phase of OSN research heavily focused bottom-up approach by first forming individual communi-
on characterizing the properties of the social graph, cur- ties, and then establishing their overlapping structure. By
rently, the research community has shown an increased comparing the proposed model with real traces of human
interest in how basic properties of social network theory mobility, the authors show that their model can approxi-
can 1) explain observed online human behavior and 2) be mate properties such as the inter-contact time or degree
exploited to drive the design of algorithms and large-scale distributions, arguing that social structures play a signifi-
distributed systems. Indeed, this second phase of OSN cant role in human mobility.
research is also reflected in the current special issue of The potential of exploiting large-scale OSN services for
IEEE Network. The special issue features an ensemble of malicious activities is the subject of the article by Makri-
interesting articles demonstrating the breadth and variety dakis et al. The authors show how the widespread growth of
of OSN applications, such as location-based social network such services, the underlying trust they establish among
services, security and privacy of OSNs, and human mobility users, and their “open platform” architecture are the ideal
models based on social network theory. properties for turning OSNs into new vectors of attack.
In particular, this special issue attempts to provide insights The authors expose the feasibility of converting Facebook
with respect to the following questions: applications to denial of service platforms, demonstrate
• Human mobility: Could social network theory explain how to retrieve remote files from a user’s machine, and
properties of human mobility, and, if so, which of these expose potential leakage of private information despite the
properties can be replicated in the proposed models? relevant privacy settings. Overall, the article provides sim-
• Security: Following the abuse of email and websites, can ple proof-of-concept examples of misuses in popular OSNs,
OSNs be used as a new vector of attack to propagate and stresses the importance of advanced protection mecha-
malware and compromise user machines? nisms tailored to these services.
• Privacy: How do users perceive their privacy in location- The article by Li et al. further explores how users per-
based social network services? ceive privacy but in a different context. Specifically, shar-
4 IEEE Network • September/October 2010
2. GUEST EDITORIAL
ing location information is an important feature of OSNs and blog content. The study highlights how commercial
that is gaining increasing attention among OSN users. profiles, whose particular aim is to attract users, feature
Location-based OSNs, or “LSNs,” as referred to by the unique properties from those of individual user profiles.
authors, are explored in the third article of this special Concluding this editorial, we would like to thank the
issue. The article provides a brief description of some pop- Editor-in-Chief, Tom Chen, for his valuable support and
ular services in the space, summarizes their features, and guidance throughout this special issue. We are also grateful
examines how private information might be exposed in to all the reviewers whose efforts and comments made this
such services. The authors study how privacy concerns special issue possible.
depend on different users groups, user ages, access meth-
ods, or geographical regions.
Biographies
The characterization of user online activity in several MICHALIS FALOUTSOS (michalis@cs.ucr.edu) is a faculty member in the Computer
popular OSNs is the subject of a study by Gyarmati et al. Science Department at the University of California, Riverside. He got his Bache-
The study uses PlanetLab as a measurement infrastructure lor’s degree from the National Technical University of Athens, and his M.Sc and
Ph.D. from the University of Toronto. His interests include Internet protocols and mea-
monitoring thousands of user profiles for BeBo, MySpace, surements, network security, and routing in ad hoc networks. With his two
Netlog, and Tagged. The article characterizes access pat- brothers, he co-authored the paper “On Power Laws of the Internet Topology”
terns of users in these OSNs, covering aspects related to (SIGCOMM’99), which received the “Test of Time” award from ACM SIG-
COMM. His work has been supported by several NSF and DAPRA grants,
the user online time, duration of user sessions, and user including the prestigious NSF CAREER award with a cumulative of more than $5
activity time. The authors perform a statistical analysis of million in grants. He has been authoring the popular column “You Must Be Jok-
ing...” in ACM SIGCOMM Computer Communication Review , which reaches
the distributions of specific properties, and expose the fact 9000 downloads. He is the co-founder of stopthehacker.com, a web security
that attracting the interest of users who have recently startup.
joined an OSN may not be trivial.
THOMAS KARAGIANNIS (thomkar@microsoft.com) is a researcher with the Systems
The fraction of active and “non-active” users and the and Networking group of Microsoft Research Cambridge, United Kingdom. He
size of OSNs is under study also in the article by Rejaie et received his Ph.D. in computer science from the University of California, River-
al. The authors devise strategies to estimate the number of side and his B.S from the Applied Informatics Department of the University of
Macedonia, Thessaloniki, Greece. Before joining Microsoft, he was with Intel Research
users for MySpace and Twitter by exploiting information and the Cooperative Association for Internet Data Analysis (CAIDA). He has
about the allocation of numeric user IDs. By inferring this served as a chair and steering committee member for the Workshop on Online Social
Networks (WOSN), and as a TPC member for several conferences such as SIG-
allocation strategy, the authors can estimate the total popu- COMM, IMC, and INFOCOM. His research interests include Internet measure-
lation of users at the time a user joined. The authors fur- ments and modeling, analysis and characterization of the traffic of Internet applications,
ther present information regarding the number of deleted and peer-to-peer and social networks.
accounts and their corresponding lifespans. Overall, the SUE MOON (sbmoon@kaist.edu) received her B.S. and M.S. from Seoul National
study reports that the active population of these OSNs is an University, Korea, in 1988 and 1990, respectively, both in computer engineer-
order of magnitude smaller than their reported population ing. She received a Ph.D. degree in computer science from the University of
Massachusetts at Amherst in 2000. From 1999 to 2003 she worked in the
sizes. IPMON project at Sprint ATL, Burlingame, California. In August 2003 she
Finally, Gauvin et al. study how user profile characteris- joined KAIST and now teaches in Daejeon, Korea. She has served as TPC co-
chair for ACM Multimedia and ACM SIGCOMM MobiArch Workshop, general
tics depend on user gender in MySpace. The authors chair for PAM, and TPC for many conferences, including SIGCOMM 2010,
explore several properties such as the effect of user age, NSDI 2008 and 2010, WWW 2007–2008, INFOCOM 2004–2006, and IMC
the correlation between the number of friends and number 2009. She won the best paper award at ACM SIGCOMM Internet Measurement
Conference 2007 and was awarded the Amore Pacific Woman Scientist Award
of publishers (e.g., friends that publish on a user’s wall), in 2009. Her research interests are: network performance measurement and
age similarity between interacting users, temporal patterns, analysis, online social networks, and networked systems.
IEEE Network • September/October 2010 5