Computational Social Networks: Tools, Perspectives and Applications 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: Modeling and Tools Computational Social Networks: Tools, Perspectives, and Challenges"Mrutyunjaya Panda, Nashwa El-Bendary, Mostafa A. Salama, Aboul Ella Hassanien and Ajith Abraham" Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting"Jian-Wu Xu" Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks"Guillaume-Jean Herbiet and Pascal Bouvry" Detection and Interpretation of Communities in Complex Networks: Practical Methods and Application"Vincent Labatut and Jean-Michel Balasque" Metrics and Models for Social Networks"Nicolas Ignacio Bersano Mendez, Satu Elisa Schaeffer and Javier Bustos Jimenez" Structural Decompositions of Complex Networks"Rong Yang, Leyla Zhuhadar and Olfa Nasraoui" Enhancing Online Communities with Cycle-Sharing for Social Networks"Nuno Apolonia, Paulo Ferreira and Luis Veiga" Robustness and Prediction in Social Network Analysis"Daniel Ortiz-Arroyo and Soren Davidsen" Part II: Applications Social Networking Tools for Knowledge-Based Action Groups"William P. Hall, Susu Nousala, Russell Best and Siddharth Nair" Dynamic Web Prediction using Asynchronous Mouse Activity"Anirban Kundu" PPMN: A City-Wide Reliable Public Wireless Mesh Network"Ali Asghar Khodaparast and Azade Kavianfar" Applications of Social Networks in Peer-to-Peer Networks"Jiaqing Huang, Qingyuan Liu, Zhibin Lei and Dah Ming Chiu" Intelligent Social Networks of Devices"Arpan Pal, Chirabrata Bhaumik, Priyanka Sinha and Avik Ghose" Social Network-Based Media Sharing in the Ubiquitous Environment: Technologies and Applications"Xun Luo" Customer Interaction Management Goes Social: Getting Business Processes Plugged into Social Networks"Michaela Geierhos and Mohamed Ebrahim" Real Emotions for Simulated Social Networks"Pietro Cipresso, Luigi Sellitti, Nadia El Assawy, Federica Galli, Anna Balgera, Jean Marie Dembele, Marco Villamira and Giuseppe Riva" Social Networks for Learning: Breaking Through the Walled Garden of the VLE"Karen Jones, Rhian Pole, Stephen Hole and James Williams" Social Networks and Recommendation Systems: A World of Synergies"Kanna Al Falahi, Nikolaos Mavridis and Yacine Atif""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."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. This comprehensive text/reference is the first 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 practical tools, applications, and open avenues for further research (the other two volumes review issues of "Security and Privacy," and "Mining and Visualization" 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 by applying these ideas in real-world scenariosDiscusses the design and use of a wide range of computational tools and software for social network analysisDescribes simulations of social networks, the representation and analysis of social networks, and the use of semantic networks in knowledge discovery and visualizationProvides 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. 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 the editor of the book "Distributed Multiple Description Coding," as well as many other Springer publications. Dr. Aboul-Ella Hassanien is Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University. Dr. Hassanien and Dr. Abraham have co-edited numerous Springer titles, including the books "Computational Social Network Analysis" and "Pervasive Computing."Publisher Marketing: This book is the first 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 practical tools, applications, and open avenues for further research (the other two volumes review issues of "Security and Privacy," and "Mining and Visualization" in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, the representation and analysis of social networks, and the use of semantic networks in knowledge discovery and visualization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.