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Computational Social Networks

Tools, Perspectives and Applications

  • Book
  • © 2012

Overview

Editors:
  1. Ajith Abraham

    1. Machine Intelligence Research Labs SNIRE, Auburn, USA

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  2. Aboul-Ella Hassanien

    1. Faculty of Computers and Information, Information Technology Department, Cairo University, Orman, Giza, Egypt

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    You can also search for this editor in PubMed   Google Scholar

  • Provides the latest advances in computational social networks, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios
  • Presents a specific focus on practical tools and applications
  • Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Modeling and Tools

    1. Front Matter

      Pages 1-1
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  3. Modeling and Tools

    1. Computational Social Networks: Tools, Perspectives, and Challenges

      • Mrutyunjaya Panda, Nashwa El-Bendary, Mostafa A. Salama, Aboul Ella Hassanien, Ajith Abraham
      Pages 3-23

    2. Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting

      • Jian-Wu Xu
      Pages 25-49

    3. Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks

      • Guillaume-Jean Herbiet, Pascal Bouvry
      Pages 51-80

    4. Detection and Interpretation of Communities in Complex Networks: Practical Methods and Application

      • Vincent Labatut, Jean-Michel Balasque
      Pages 81-113

    5. Metrics and Models for Social Networks

      • Nicolás Ignacio Bersano-Méndez, Satu Elisa Schaeffer, Javier Bustos-Jiménez
      Pages 115-142

    6. Structural Decompositions of Complex Networks

      • Rong Yang, Leyla Zhuhadar, Olfa Nasraoui
      Pages 143-160

    7. Enhancing Online Communities with Cycle-Sharing for Social Networks

      • Nuno Apolónia, Paulo Ferreira, Luís Veiga
      Pages 161-195

    8. Centrality Robustness and Link Prediction in Complex Social Networks

      • Søren Atmakuri Davidsen, Daniel Ortiz-Arroyo
      Pages 197-224

  4. Applications

    1. Front Matter

      Pages 225-225
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  5. Applications

    1. Social Networking Tools for Knowledge-Based Action Groups

      • William P. Hall, Susu Nousala, Russell Best, Siddharth Nair
      Pages 227-255

    2. Dynamic Web Prediction Using Asynchronous Mouse Activity

      • Anirban Kundu
      Pages 257-280

    3. PPMN: A City Wide Reliable Public Wireless Mesh Network

      • Ali Asghar Khodaparast, Azade Kavianfar
      Pages 281-300

    4. Applications of Social Networks in Peer-to-Peer Networks

      • Jiaqing Huang, Qingyuan Liu, Zhibin Lei, Dah Ming Chiu
      Pages 301-327

    5. Intelligent Social Network of Devices

      • Arpan Pal, Chirabrata Bhaumik, Priyanka Sinha, Avik Ghose
      Pages 329-348

    6. Social Network-Based Media Sharing in the Ubiquitous Environment: Technologies and Applications

      • Xun Luo
      Pages 349-366

    7. Customer Interaction Management Goes Social: Getting Business Processes Plugged in Social Networks

      • Michaela Geierhos, Mohamed Ebrahim
      Pages 367-389

    8. Real Emotions for Simulated Social Networks

      • Pietro Cipresso, Luigi Sellitti, Nadia El Assawy, Federica Galli, Anna Balgera, Jean Marie Dembele et al.
      Pages 391-415

    9. Social Networks for Learning: Breaking Through the Walled Garden of the VLE

      • Karen Jones, Rhian Pole, Stephen Hole, James Williams
      Pages 417-444
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Keywords

About this book

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.

Editors and Affiliations

  • Machine Intelligence Research Labs SNIRE, Auburn, USA

    Ajith Abraham

  • Faculty of Computers and Information, Information Technology Department, Cairo University, Orman, Giza, Egypt

    Aboul-Ella Hassanien

About the editors

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.

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