Computational Social Networks: Mining and Visualization 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.. Biographical Note: Dr. Ajith Abraham is the Director of 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 on Computational Aspects of Social Networks (CASoN), Chair of the IEEE Systems Man and Cybernetics SocietyTechnical Committee on Soft Computing (since 2008), and Distinguished Lecturer for the IEEE Computer Society representing Europe (since 2011). Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University."Table of Contents: Part I: Mining Social Networks Analysis: Tools, Measures and Visualization"Neveen Ghali, Mrutyunjaya Panda, Aboul Ella Hassanien, Ajith Abraham and Vaclav Snasel" Performance Evaluation of Social Network Using Data Mining Techniques"Mrutyunjaya Panda, Ajith Abraham, Satchidananda Dehuri and Manas Ranjan Patra" Bio-Inspired Clustering and Data Diffusion in Machine Social Networks"Iva Bojic, Tomislav Lipic and Vedran Podobnik" Mining Geo-Referenced Community-Contributed Multimedia Data"Milan Mirkovic, Dubravko Culibrk and Vladimir Crnojevic" Correlation Mining for Web News Retrieval"Jing Liu, Zechao Li and Lu Hanqing" Mining Micro-Blogs: Opportunities and Challenges"Yang Liao, Masud Moshtaghi, Bo Han, Shanika Karunasekera, Ramamohanarao Kotagiri, Timothy Baldwin, Aaron Harwood and Philippa Pattison" Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Networks"Xiao Liu and Jianmei Yang" Reliable Online Social Network Data Collection"Fehmi Ben Abdesslem, Iain Parris and Tristan Henderson" Knowledge Mining from the Twitter Social Network: The Case of Barack Obama"Marco Guidi, Igor Ruiz-Agundez and Izaskun Canga-Sanchez" Part II: Visualization Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach"Wolfgang Reinhardt, Adrian Wilke, Matthias Moi, Hendrik Drachsler and Peter Sloep" Intelligent Visual Pattern Clustering for Storage Layouts in Virtual Environments"Shao-Shin Hung, Chih Ming Chiu, Tsou Tsun Fu, Jung Tzung Chen and Jyh-Jong Tsay""Salvatore Catanese, Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara and Alessandro Provetti" Analysis of Human-Computer Interactions and Online Social Networking: A Framework"Liguo Yu and Dr. Srini Ramaswamy"Implementation of Social Network Analysis for Web Cache Content Mining Visualization"Sarina Sulaiman, Siti Mariyam Shamsuddin and Ajith Abraham"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. Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between users. However, visualization techniques can aid the understanding of how these networks function. This comprehensive text/reference is the third 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, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review "Tools, Perspectives, and Applications," and "Security and Privacy" in CSNs). Topics and features: Includes a thorough introduction to this exciting and blossoming fieldPresents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networksDiscusses 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, highlighting methods for the data mining of CSNsProvides 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. Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between users. However, visualization techniques can aid the understanding of how these networks function. This comprehensive text/reference is the third 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, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review "Tools, Perspectives, and Applications," and "Security and Privacy" in CSNs). Topics and features: includes a thorough introduction to this exciting and blossoming field; presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; 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, highlighting methods for the data mining of CSNs; 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.