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Computational Social Network Analysis

Trends, Tools and Research Advances

By Ajith Abraham , Aboul-Ella Hassanien , Vaclav Snášel

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Social networks provide a powerful abstraction of the structure and dynamics of people-to-technology interaction. Comparing social animal interaction with web-based social interaction, this volume explores human behavior in web-based social networks.

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  • ISBN13: 978-1-8488-2228-3
  • 500 Pages
  • User Level: Science
  • Publication Date: December 10, 2009
  • Available eBook Formats: PDF
Full Description
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 cycleof 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.
Table of Contents

Table of Contents

  1. An Overview of Methods for Virtual Social Networks Analysis.
  2. Discovering Sets of Key Players in Social Networks.
  3. Towards Self
  4. organizing Search Systems.
  5. DISSECT: Data
  6. Intensive Socially Similar Evolving Community Tracker.
  7. Clustering of Blog Sites using Collective Wisdom.
  8. Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming.
  9. Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features.
  10. Network Evolution.
  11. Vmap
  12. Layout, a Layout Algorithm for Drawing Scientograms.
  13. Nature
  14. inspired Dissemination of Information in P2P Networks.
  15. Analysis and Visualization of Relations in eLearning.
  16. Interdisciplinary Matchmaking.
  17. Web Communities Defined by Web Page Content.
  18. Extended Generalized Block Modeling for Compound Communities and External Actors.
  19. Analyzing Collaborations Through Content
  20. Based Social Networks.
  21. IA
  22. Regional
  23. Radio.
  24. On the Use of Social Networks in Web Services.
  25. Friends with Faces.

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