Computational Social Networks

Mining and Visualization

  • Ajith¬†Abraham

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Mining

    1. Front Matter
      Pages 1-1
    2. Neveen Ghali, Mrutyunjaya Panda, Aboul Ella Hassanien, Ajith Abraham, Vaclav Snasel
      Pages 3-23
    3. Mrutyunjaya Panda, Ajith Abraham, Sachidananda Dehuri, Manas Ranjan Patra
      Pages 25-49
    4. Iva Bojic, Tomislav Lipic, Vedran Podobnik
      Pages 51-79
    5. Milan Mirkovic, Dubravko Culibrk, Vladimir Crnojevic
      Pages 81-102
    6. Jing Liu, Zechao Li, Hanqing Lu
      Pages 103-128
    7. Yang Liao, Masud Moshtaghi, Bo Han, Shanika Karunasekera, Ramamohanarao Kotagiri, Timothy Baldwin et al.
      Pages 129-159
    8. Fehmi Ben Abdesslem, Iain Parris, Tristan Henderson
      Pages 183-210
    9. Marco Guidi, Igor Ruiz-Agundez, Izaskun Canga-Sanchez
      Pages 211-229
  3. Visualization

    1. Front Matter
      Pages 231-231
    2. Wolfgang Reinhardt, Adrian Wilke, Matthias Moi, Hendrik Drachsler, Peter Sloep
      Pages 233-267
    3. Shao-Shin Hung, Chih-Ming Chiu, Tsou Tsun Fu, Jung Tzung Chen, Jyh-Jong Tsay
      Pages 269-290
    4. Salvatore Catanese, Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara, Alessandro Provetti
      Pages 291-324
    5. Sarina Sulaiman, Siti Mariyam Shamsuddin, Ajith Abraham
      Pages 345-376
  4. Back Matter
    Pages 377-385

About this book

Introduction

The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems.

Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between users. However, visualization techniques can aid the understanding of how these networks function. This comprehensive text/reference is the third 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 knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy 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 from a better understanding of complex social networks
  • Discusses the design and use of a wide range of computational tools and software for social network analysis
  • Describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs
  • 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.

Keywords

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
  1. 1.AuburnUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4054-2
  • Copyright Information Springer-Verlag London 2012
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-4053-5
  • Online ISBN 978-1-4471-4054-2
  • About this book
Industry Sectors
Pharma
Automotive
Biotechnology
Electronics
Telecommunications
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences