Analyzing reading behavior by blog mining

Tadanobu Furukawa, Mitsuru Ishizuka, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama

研究成果: Conference contribution

25 引用 (Scopus)

抜粋

This paper presents a study of the various aspects of blog reading behavior. The analyzed data are obtained from a Japanese weblog hosting service, Doblog. Four kinds of social networks are generated and analyzed: citation, comment, trackback, and blogroll networks. In addition, the user log data are used to identify readership relations among bloggers. After analysis of more than 50,000 users for about two years, we reveal some interactions between social relations and readership relations. We first show that bloggers read other weblogs on a regular basis (50% of weblogs that are read at least three times are read every five times a user logs in). We call this relation a regular reading relation (RR relation). Then, prediction of RR relations is done using features from the four kinds of social networks. Lastly, information diffusion on RR relations is analyzed and characterized. Results of this study show that the blogs in RR relations have an important role in bloggers' activities. We find the features which have a correlation with RR relations.

元の言語English
ホスト出版物のタイトルProceedings of the National Conference on Artificial Intelligence
ページ1353-1358
ページ数6
2
出版物ステータスPublished - 2007
外部発表Yes
イベントAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC
継続期間: 2007 7 222007 7 26

Other

OtherAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Vancouver, BC
期間07/7/2207/7/26

ASJC Scopus subject areas

  • Software

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  • これを引用

    Furukawa, T., Ishizuka, M., Matsuo, Y., Ohmukai, I., & Uchiyama, K. (2007). Analyzing reading behavior by blog mining. : Proceedings of the National Conference on Artificial Intelligence (巻 2, pp. 1353-1358)