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Book Description

This book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their opinions, and share their experiences and ideas. Blogs also facilitate interactions among individuals creating a network with unique characteristics. Through the interactions individuals experience a sense of community. We elaborate on approaches that extract communities and cluster blogs based on information of the bloggers. Open standards and low barrier to publication in Blogosphere have transformed information consumers to producers, generating an overwhelming amount of ever-increasing knowledge about the members, their environment and symbiosis. We elaborate on approaches that sift through humongous blog data sources to identify influential and trustworthy bloggers leveraging content and network information. Spam blogs or "splogs" are an increasing concern in Blogosphere and are discussed in detail with the approaches leveraging supervised machine learning algorithms and interaction patterns. We elaborate on data collection procedures, provide resources for blog data repositories, mention various visualization and analysis tools in Blogosphere, and explain conventional and novel evaluation methodologies, to help perform research in the Blogosphere.

Table of Contents

  1. Cover
  2. Half title
  3. Copyright
  4. Title
  5. Dedication
  6. Contents
  7. Acknowledgments
  8. 1 Modeling Blogosphere
    1. 1.1 Modeling Essentials
    2. 1.2 Preferential Attachment Blog Models
      1. 1.2.1 Log-normal Distribution Models
  9. 2 Blog Clustering and Community Discovery
    1. 2.1 Graph Based Approach
    2. 2.2 Content Based Approach
    3. 2.3 Hybrid Approach
  10. 3 Influence and Trust
    1. 3.1 Influence
      1. 3.1.1 Graph Based Approach
      2. 3.1.2 Content Based Approach
      3. 3.1.3 Hybrid Approach
      4. 3.1.4 Blog Leaders
    2. 3.2 Trust
      1. 3.2.1 Trust Computation
      2. 3.2.2 Trust Propagation
  11. 4 Spam Filtering in Blogosphere
    1. 4.1 Graph Based Approach
    2. 4.2 Content Based Approach
    3. 4.3 Hybrid Approach
  12. 5 Data Collection and Evaluation
    1. 5.1 Data Collection
      1. 5.1.1 API
      2. 5.1.2 Web Crawler
      3. 5.1.3 Available Datasets
      4. 5.1.4 Data Preprocessing
    2. 5.2 Evaluation
      1. 5.2.1 Blog Modeling
      2. 5.2.2 Blog Clustering and Community Discovery
      3. 5.2.3 Influence and Trust
      4. 5.2.4 Spam
  13. A Tools in Blogosphere
  14. B API Examples
  15. Bibliography
  16. Biography
  17. Index