© 2010

From Sociology to Computing in Social Networks

Theory, Foundations and Applications

  • Nasrullah Memon
  • Reda Alhajj
  • Experts in Social Networking and Data Mining have come together to create this volume

  • Special Focus on emerging trends and the needs of industry associated with data mining techniques for social networking

  • Useful applications for utilizing the commercial aspects of social networking


Table of contents

  1. Front Matter
    Pages i-xix
  2. Social Networks: A Powerful Model for Serving a Wide Range of Domains

    1. Front Matter
      Pages 11-11
  3. Mining-based Social Network Methods

    1. Front Matter
      Pages 117-117
    2. Mohamad Xagi, Abdelghani Guerbas, Keivan Kianmehr, Panagiotis Karampelas, Mick Ridley, Reda Alhajj et al.
      Pages 13-34
    3. Anna Stavrianou, Julien Velcin, Jean-Hugues Chauchat
      Pages 59-79
  4. Dynamics in Social Network Models

    1. Front Matter
      Pages 195-195
    2. Pir Abdul Rasool Qureshi, Nasrullah Memon, Uffe Kock Wiil
      Pages 135-156
  5. Dynamics in Social Network Models

    1. Front Matter
      Pages 279-279
    2. Jiyang Chen, Osmar R. Zaïane, Randy Goebel
      Pages 197-214
    3. Klaus Stein, Steffen Blaschke
      Pages 231-252
  6. Social Media

    1. Front Matter
      Pages 363-363

About this book


Important aspects of social networking analysis are covered in this work by combining experimental and theoretical research. A specific focus is devoted to emerging trends and the industry needs associated with utilizing data mining techniques. Some of the techniques covered include data mining advances in the discovery and analysis of communities, in the personalization of solitary activities (like searches) and social activities (like discovering potential friends), in the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions), and in the associated security and privacy-preservation challenges; as well as social network modeling, scalable, customizable social network infrastructure construction, and the identification and discovery of dynamic growth and evolution patterns using machine learning approaches or multi-agent based simulation. These topics will be of interest to practitioners and researchers alike in this dynamic and growing field.


Computer Pattern Mining calculus data mining machine learning modeling multiagen based simulation optimization social networking visualization web communities

Editors and affiliations

  • Nasrullah Memon
    • 1
  • Reda Alhajj
    • 2
  1. 1.The Maersk Mc-Kinney Moller InstituteOdenseDenmark
  2. 2.Department of Computer ScienceUniversity of CalgaryCalgaryCanada

Bibliographic information

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