Computational Social Networks

Tools, Perspectives and Applications
Herausgegeben:Abraham, Ajith; Hassanien, Aboul-Ella

• Gebundenes Buch

Produktbeschreibung

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 networktechnology.

Produktdetails

• Verlag: Springer / Springer London / Springer, Berlin
• Artikelnr. des Verlages: 80027045, 978-1-4471-4047-4
• 2012
• Seitenzahl: 484
• Erscheinungstermin: 28. Juni 2012
• Englisch
• Abmessung: 241mm x 160mm x 31mm
• Gewicht: 902g
• ISBN-13: 9781447140474
• ISBN-10: 1447140478
• Artikelnr.: 35105737

Autorenporträt

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 Society Technical 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.

Inhaltsangabe

Part I: Modeling and Tools.- Computational Social Networks.- Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting.- Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks.- Detection and Interpretation of Communities in Complex Networks.- Metrics and Models for Social Networks.- Structural Decompositions of Complex Networks.- Enhancing Online Communities with Cycle-Sharing for Social Networks.- Robustness and Prediction in Social Network Analysis.- Part II: Applications.- Social Networking Tools for Knowledge-Based Action Groups.- Dynamic Web Prediction using Asynchronous Mouse Activity.- PPMN.- Applications of Social Networks in Peer-to-Peer Networks.- Intelligent Social Networks of Devices.- Social Network-Based Media Sharing in the Ubiquitous Environment.- Customer Interaction Management Goes Social.- Real Emotions for Simulated Social Networks.- Social Networks for Learning.- Social Networks and Recommendation Systems.

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Part I: Modeling and Tools.- Computational Social Networks.- Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting.- Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks.- Detection and Interpretation of Communities in Complex Networks.- Metrics and Models for Social Networks.- Structural Decompositions of Complex Networks.- Enhancing Online Communities with Cycle-Sharing for Social Networks.- Robustness and Prediction in Social Network Analysis.- Part II: Applications.- Social Networking Tools for Knowledge-Based Action Groups.- Dynamic Web Prediction using Asynchronous Mouse Activity.- PPMN.- Applications of Social Networks in Peer-to-Peer Networks.- Intelligent Social Networks of Devices.- Social Network-Based Media Sharing in the Ubiquitous Environment.- Customer Interaction Management Goes Social.- Real Emotions for Simulated Social Networks.- Social Networks for Learning.- Social Networks and Recommendation Systems.