Computational Social Networks

Security and Privacy
2012
ISBN: 978-1-4471-4050-4
Verlag: Springer

Buch, Englisch, 350 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 711 g

This book 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: 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.

Zielgruppe

Research

Autoren/Hrsg.

Abraham, Ajith

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0

Inhaltsverzeichnis

Part I: Privacy and Trust.- Computational Social Networks: Security and Privacy.- Security, Privacy and Trust in Social Networks.- Blogging Around the Globe: Motivations, Privacy Concerns and Social Networking.- Privacy in Online Social Networks.- Privacy Settings in Online Social Networks as a Conflict of Interests.- A Reliability-Based Metric for Inferring Trust from Recommendations in Knowledge Sharing Networks.- Part II: Security and Applications.- Measurement Methods of User Behavior in Online Social Networks.- Exploring Influence and Interests among Users within Social Networks.- User Cooperation, Virality and Gaming in a Social Mobile Network: The Gedda-Headz Concept.- An Effective User-Driven Framework for Selection of Social Network Services.- Opinion Mining for Social Networking: An Approach and Impact.- Part III: Anonymity.- Providing Group Anonymity in Social Networks.- Anonymisation of Social Networks and a Rough Set Approach.- Behavioural Patternsand Social Networks in Anonymity Systems.

Über Autor(innen)

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).