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Computational Social Networks

Mining and Visualization

By Ajith Abraham

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This book, the third of three volumes exploring the concept of social networks from a computational point of view, offers contributions from world-class experts concentrating on topics relating to knowledge discovery and visualization of complex networks.

Full Description

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  • ISBN13: 978-1-4471-4053-5
  • 399 Pages
  • User Level: Science
  • Publication Date: August 13, 2012
  • Available eBook Formats: PDF
Full Description
This book 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: 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.
Table of Contents

Table of Contents

  1. Part I: Mining.
  2. Social Networks Analysis.
  3. Performance Evaluation of Social Network Using Data Mining Techniques.
  4. Bio
  5. Inspired Clustering and Data Diffusion in Machine Social Networks.
  6. Mining Geo
  7. Referenced Community
  8. Contributed Multimedia Data.
  9. Correlation Mining for Web News Retrieval.
  10. Mining Micro
  11. Blogs.
  12. Mining Buyer Behavior Patterns Based on Dynamic Group
  13. Buying Networks.
  14. Reliable Online Social Network Data Collection.
  15. Knowledge Mining from the Twitter Social Network.
  16. Part II: Visualization.
  17. Mining and Visualizing Research Networks using the Artefact
  18. Actor
  19. Network Approach.
  20. Intelligent Visual Pattern Clustering for Storage Layouts in Virtual Environments.
  21. Extraction and Analysis of Facebook Friendship Relations.
  22. Analysis of Human
  23. Computer Interactions and Online Social Networking.
  24. Implementation of Social Network Analysis for Web Cache Content Mining Visualization.

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