Social Networks: A Framework of Computational Intelligence

  • Witold Pedrycz
  • Shyi-Ming Chen

Part of the Studies in Computational Intelligence book series (SCI, volume 526)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Stanislav Krajči
    Pages 41-61
  3. Eric N. Fischer, Ciprianna M. Dudding, Tyler J. Engel, Matthew A. Reynolds, Mark J. Wierman, John N. Mordeson et al.
    Pages 63-74
  4. A. Abdul Rasheed, M. Mohamed Sathik
    Pages 75-97
  5. Ahmed Ibrahem Hafez, Eiman Tamah Al-Shammari, Aboul ella Hassanien, Aly A. Fahmy
    Pages 145-171
  6. Shahrinaz Ismail, Mohd Sharifuddin Ahmad, Zainuddin Hassan
    Pages 201-224
  7. Lin-Lin Tang, Jeng-Shyang Pan, XiaoLv Guo, Shu-Chuan Chu, John F. Roddick
    Pages 287-311
  8. Soumya Banerjee, Youakim Badr, Eiman Tamah Al-Shammari
    Pages 377-406
  9. Morgan L. Eichman, James A. Rolfsen, Mark J. Wierman, John N. Mordeson, Terry D. Clark
    Pages 407-425
  10. Back Matter
    Pages 439-440

About this book


This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms.  The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling.  Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes.

Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter. 


Computational Intelligence Social Networks

Editors and affiliations

  • Witold Pedrycz
    • 1
  • Shyi-Ming Chen
    • 2
  1. 1.Electrical & Computer EngineeringUniversity of AlbertaEdmontonCanada
  2. 2.Department of Computer Science and Information EngineeringNational Taiwan University of Science and TechnologyTaipeiTaiwan

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-02992-4
  • Online ISBN 978-3-319-02993-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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