Behavioral Analysis Based on Relations in Weblogs

  • Tadanobu Furukawa
  • Tomofumi Matsuzawa
  • Yutaka Matsuo
  • Koki Uchiyama
  • Masayuki Takeda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)


This paper analyze the influence of the relations among blogs on users’ browsing behavior assuming that users’ activities can be predict by the relations on the blog network. We define the measure for two-hop relations as a factor to influence activities, and check the correlation between them or with users’ behavior by using blog data including visiting behavior. Attempting to determine the relations on which users read the blogs with interest as a helpful information for page recommendation, we conduct the experiments with a machine learning. As a result, even though the performance is not very high, we get the effective factors for prediction.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tadanobu Furukawa
    • 1
  • Tomofumi Matsuzawa
    • 2
  • Yutaka Matsuo
    • 3
  • Koki Uchiyama
    • 4
  • Masayuki Takeda
    • 2
  1. 1.Graduate School of Science and TechnologyTokyo University of ScienceChibaJapan
  2. 2.Dept. of Information SciencesTokyo University of ScienceChibaJapan
  3. 3.National Institute of Advanced Industrial Science and TechnologyTokyoJapan
  4. 4.hottolink, Inc.TokyoJapan

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