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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.
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 field
• 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
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.
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.
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
Nicola's Ignacio Bersano Méndez, Satu Elisa Schaeffer and Javier Bustos Jiménez
Structural Decompositions of Complex Networks
Rong Yang, Leyla Zhuhadar and Olfa Nasraoui
Enhancing Online Communities with Cycle-Sharing for Social Networks
Nuno Apolónia, Paulo Ferreira and Lui's Veiga
Robustness and Prediction in Social Network Analysis
Daniel Ortiz-Arroyo and Søren 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
Overview
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 ...