Computational Social Networks

Tools, Perspectives and Applications

  • Ajith Abraham
  • Aboul-Ella Hassanien

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Modeling and Tools

    1. Front Matter
      Pages 1-1
    2. Mrutyunjaya Panda, Nashwa El-Bendary, Mostafa A. Salama, Aboul Ella Hassanien, Ajith Abraham
      Pages 3-23
    3. Nicolás Ignacio Bersano-Méndez, Satu Elisa Schaeffer, Javier Bustos-Jiménez
      Pages 115-142
    4. Rong Yang, Leyla Zhuhadar, Olfa Nasraoui
      Pages 143-160
    5. Nuno Apolónia, Paulo Ferreira, Luís Veiga
      Pages 161-195
    6. Søren Atmakuri Davidsen, Daniel Ortiz-Arroyo
      Pages 197-224
  3. Applications

    1. Front Matter
      Pages 225-225
    2. William P. Hall, Susu Nousala, Russell Best, Siddharth Nair
      Pages 227-255
    3. Ali Asghar Khodaparast, Azade Kavianfar
      Pages 281-300
    4. Jiaqing Huang, Qingyuan Liu, Zhibin Lei, Dah Ming Chiu
      Pages 301-327
    5. Arpan Pal, Chirabrata Bhaumik, Priyanka Sinha, Avik Ghose
      Pages 329-348
    6. Pietro Cipresso, Luigi Sellitti, Nadia El Assawy, Federica Galli, Anna Balgera, Jean Marie Dembele et al.
      Pages 391-415
    7. Karen Jones, Rhian Pole, Stephen Hole, James Williams
      Pages 417-444
    8. Kanna Al Falahi, Nikolaos Mavridis, Yacine Atif
      Pages 445-465
  4. Back Matter
    Pages 467-470

About this book


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.


Ad Hoc Network Applications and Services Anonymity and Privacy Ethical Dilemmas Information Sharing Social Gaming Social Media Analysis Social Network Analysis Social Structure

Editors and affiliations

  • Ajith Abraham
    • 1
  • Aboul-Ella Hassanien
    • 2
  1. 1.Machine Intelligence Research Labs SNIREAuburnUSA
  2. 2.Faculty of Computers and Information, Information Technology DepartmentCairo UniversityOrman, GizaEgypt

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