Computational Social Networks: Security and Privacy 2012 edition

Marc Notes: ; 8; The second of three volumes exploring the concept of social networks from a computational point of view, offering contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy.. Table of Contents: Part I: Privacy and Trust Computational Social Networks: Security and Privacy"Mostafa Salama, Mrutyunjaya Panda, Yomna Elbarawy, Aboul Ella Hassanien and Ajith Abraham" Security, Privacy and Trust in Social Networks"Karuppanan Komathy" Blogging Around the Globe: Motivations, Privacy Concerns and Social Networking"Mei Kobayashi" Privacy in Online Social Networks"Michael Beye, Arjan Jeckmans, Zekeriya Erkin, Qiang Tang, Pieter Hartel and Inald Lagendijk" Privacy Settings in Online Social Networks as a Conflict of Interests"Max-R. Ulbricht" A Reliability-Based Metric for Inferring Trust from Recommendations in Knowledge Sharing Networks"Weisen Guo and Steven Kraines" Part II: Security and Applications Measurement Methods of User Behavior in Online Social Networks"Laszlo Gyarmati and Tuan Anh Trinh" Exploring Influence and Interests among Users within Social Networks"Jose Simoes, Julia Kiseleva, Elena Sivogolovko and Boris Novikov" User Cooperation, Virality and Gaming in a Social Mobile Network: The Gedda-Headz Concept"Csaba Varga, Laszlo Blazovics, Hassan Charaf and Frank Fitzek" An Effective User-Driven Framework for Selection of Social Network Services"Salaja Silas, Kirubakaran Ezra and Elijah Blessing Rajsingh" Opinion Mining for Social Networking: An Approach and Impact"Irfan Siddavatam and Ashwini Dalvi" Part III: AnonymityProviding Group Anonymity in Social Networks"Oleg Chertov and Dan Tavrov" Anonymisation of Social Networks and a Rough Set Approach"Balakrushna Tripathy" Behavioural Patterns and Social Networks in Anonymity Systems"Kamil Malinka and Petr Hanek"Biographical Note: Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics SocietyTechnical Committee on Soft Computing (since 2008), and a Distinguished Lecturer ofthe IEEE Computer Society representing Europe (since 2011)."Jacket Description/Back: The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems. With the increasing popularity of social networking sites such as Myspace and Facebook, issues such as stalking, identity theft, sexual predators, and employee conduct have all become highly-publicized concerns. Many questions have also been raised about the ethics regarding the storage, management, and sharing of data held by CSNs. This comprehensive text/reference is the second of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy (the other two volumes review "Tools, Perspectives, and Applications," and "Mining and Visualization" in CSNs). Topics and features: Includes a thorough introduction to this exciting and blossoming fieldPresents the latest advances in security and privacy issues in CSNs, and illustrates how both organizations and individuals can be protected from real-world threatsDiscusses the design and use of a wide range of computational tools and software for social network analysisDescribes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymizationProvides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technologyThis authoritative work is a useful resource for researchers and developers involved in social network research and related issues. Postgraduate and senior undergraduate students will also find this a valuable reference for courses on CSNs. Publisher Marketing: The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems. With the increasing popularity of social networking sites such as Myspace and Facebook, issues such as stalking, identity theft, sexual predators, and employee conduct have all become highly-publicized concerns. Many questions have also been raised about the ethics regarding the storage, management, and sharing of data held by CSNs. This comprehensive text/reference is the second of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy (the other two volumes review "Tools, Perspectives, and Applications," and "Mining and Visualization" in CSNs). Topics and features: includes a thorough introduction to this exciting and blossoming field; presents the latest advances in security and privacy issues in CSNs, and illustrates how both organizations and individuals can be protected from real-world threats; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology. This authoritative work is a useful resource for researchers and developers involved in social network research and related issues. Postgraduate and senior undergraduate students will also find this a valuable reference for courses on CSNs.