Computational Social Network Analysis

Trends, Tools and Research Advances

  • Ajith Abraham
  • Aboul-Ella Hassanien
  • Vaclav Sná¿el

Part of the Computer Communications and Networks book series (CCN)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Social Network Mining Tools

    1. Front Matter
      Pages 1-1
    2. Alessia D’Andrea, Fernando Ferri, Patrizia Grifoni
      Pages 3-25
    3. Daniel Ortiz-Arroyo
      Pages 27-47
    4. Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubsky, Pavel Zezula
      Pages 49-80
    5. Nitin Agarwal, Magdiel Galan, Huan Liu, Shankar Subramanya
      Pages 107-134
    6. Nada Lavrač, Miha Grčar, Blaž Fortuna, Paola Velardi
      Pages 135-154
  3. Social Network Evolution

    1. Front Matter
      Pages 190-190
    2. Saeed Omidi, Ali Masoudi-Nejad
      Pages 191-240
    3. Arnaud Quirin, Oscar Cordón
      Pages 241-266
    4. Pavla Dráždilová, Gamila Obadi, Kateřina Slaninová, Jan Martinovič, Václav Snášel
      Pages 291-318
    5. Albert Hupa, Krzysztof Rzadca, Adam Wierzbicki, Anwitaman Datta
      Pages 319-347
    6. Miloš Kudělka, Václav Snášel, Zdeněk Horák, Aboul Ella Hassanien, Ajith Abraham
      Pages 349-370
    7. Alessandro Cucchiarelli, Fulvio D’Antonio, Paola Velardi
      Pages 387-409
  4. Social Network Applications

    1. Front Matter
      Pages 412-412
    2. Grzegorz Dziczkowski, Lamine Bougueroua, Katarzyna Wegrzyn-Wolska
      Pages 413-436
    3. Zakaria Maamar, Leandro Krug Wives, Khouloud Boukadi
      Pages 437-452
    4. Nikolaos Mavridis, Wajahat Kazmi, Panos Toulis
      Pages 453-482
  5. Back Matter
    Pages 483-485

About this book


Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities.

This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems.

Topics and Features:

  • Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites
  • Surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information
  • Reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities
  • Examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation

  • Discusses team selection based on members’ social context
  • Presents social network applications, including music recommendation and face recognition in photographs

  • Explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services

This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.


Collaboration Web 2.0 clustering network analysis online online community trust visualization

Editors and affiliations

  • Ajith Abraham
    • 1
  • Aboul-Ella Hassanien
    • 2
  • Vaclav Sná¿el
    • 3
  1. 1.Scientific Network for Innovation &Machine Intelligence Research Labs (MIR)AuburnU.S.A.
  2. 2.Fac. Computers & InformationCairo UniversityGizaEgypt
  3. 3.Dept. Computer ScienceTechnical University OstravaOstravaCzech Republic

Bibliographic information

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