Computational Social Networks
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
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 Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).