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Measuring a Category-Based Blogosphere

  • Priya Saha
  • Ronaldo Menezes
Part of the Studies in Computational Intelligence book series (SCI, volume 424)

Abstract

Blogs form an essential part of the Web and they are one of the main sources of information to millions of people around the world. Blogs such as Gizmodo, Slashdot, and many others, receive a very large number of daily visitors and consequently are a main force on driving what information becomes known to the public. Furthermore, information in blogs have become crucial to established news agencies such as CNN and NBC, which have dedicated programs and reporters to discuss information in the Blogosphere. This paper looks at the structure the blogosphere using Blogspot–Google’s blog hosting service–as a case study.We created networks for 12 different blog categories and a combined network. We show that these networks are very similar to the structure of the whole WWW and that the blogosphere is highly connected regardless of category divisions.

Keywords

Degree Distribution Average Path Length Combine Network Black Node Film Actor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.BioComplex Laboratory, Department of Computer SciencesFlorida Institute of TechnologyMelbourneUSA
  2. 2.Bio-Inspired Computing Lab, Department of Computer SciencesFlorida Institute of TechnologyMelbourneUSA

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