Finding structure in Blogs: bipartite networks analysis: invited presentation, extended abstract

  • Authors:
  • Bosiljka Tadić;Marija Mitrović

  • Affiliations:
  • Jožef Stefan Institute, Ljubljana, Slovenia;Jožef Stefan Institute, Ljubljana, Slovenia

  • Venue:
  • Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
  • Year:
  • 2009

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Abstract

Temporal patterns of activity on Blogs (posting, reading, commenting, comment-on-comment) contain valuable information about user behavior, which leads to potentially new type of social clustering in the Blog space. Here we show how the structure in Blog space can be retrieved from the data by mapping onto a bipartite graph and using the appropriate methods of complex networks, including the spectral analysis of graphs [4, 3]. With the analysis of (almost) complete set of data from B92 Blogsite since its opening, we demonstrate how the user communities emerge in time and what are possible underlying mechanisms of this structure.