Ebook: Computational Social Networks: Tools, Perspectives and Applications

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.

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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.

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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.

Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Computational Social Networks: Tools, Perspectives, and Challenges....Pages 3-23
Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting....Pages 25-49
Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks....Pages 51-80
Detection and Interpretation of Communities in Complex Networks: Practical Methods and Application....Pages 81-113
Metrics and Models for Social Networks....Pages 115-142
Structural Decompositions of Complex Networks....Pages 143-160
Enhancing Online Communities with Cycle-Sharing for Social Networks....Pages 161-195
Centrality Robustness and Link Prediction in Complex Social Networks....Pages 197-224
Front Matter....Pages 225-225
Social Networking Tools for Knowledge-Based Action Groups....Pages 227-255
Dynamic Web Prediction Using Asynchronous Mouse Activity....Pages 257-280
PPMN: A City Wide Reliable Public Wireless Mesh Network....Pages 281-300
Applications of Social Networks in Peer-to-Peer Networks....Pages 301-327
Intelligent Social Network of Devices....Pages 329-348
Social Network-Based Media Sharing in the Ubiquitous Environment: Technologies and Applications....Pages 349-366
Customer Interaction Management Goes Social: Getting Business Processes Plugged in Social Networks....Pages 367-389
Real Emotions for Simulated Social Networks....Pages 391-415
Social Networks for Learning: Breaking Through the Walled Garden of the VLE....Pages 417-444
Social Networks and Recommender Systems: A World of Current and Future Synergies....Pages 445-465
Back Matter....Pages 467-470

---

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.

Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Computational Social Networks: Tools, Perspectives, and Challenges....Pages 3-23
Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting....Pages 25-49
Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks....Pages 51-80
Detection and Interpretation of Communities in Complex Networks: Practical Methods and Application....Pages 81-113
Metrics and Models for Social Networks....Pages 115-142
Structural Decompositions of Complex Networks....Pages 143-160
Enhancing Online Communities with Cycle-Sharing for Social Networks....Pages 161-195
Centrality Robustness and Link Prediction in Complex Social Networks....Pages 197-224
Front Matter....Pages 225-225
Social Networking Tools for Knowledge-Based Action Groups....Pages 227-255
Dynamic Web Prediction Using Asynchronous Mouse Activity....Pages 257-280
PPMN: A City Wide Reliable Public Wireless Mesh Network....Pages 281-300
Applications of Social Networks in Peer-to-Peer Networks....Pages 301-327
Intelligent Social Network of Devices....Pages 329-348
Social Network-Based Media Sharing in the Ubiquitous Environment: Technologies and Applications....Pages 349-366
Customer Interaction Management Goes Social: Getting Business Processes Plugged in Social Networks....Pages 367-389
Real Emotions for Simulated Social Networks....Pages 391-415
Social Networks for Learning: Breaking Through the Walled Garden of the VLE....Pages 417-444
Social Networks and Recommender Systems: A World of Current and Future Synergies....Pages 445-465
Back Matter....Pages 467-470
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