A Method of Blog Thread Analysis to Discover Important Bloggers
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- NAKAJIMA Shinsuke
- Graduate School of Information Science, Nara Institute of Science and Technology
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- TATEMURA Junichi
- NEC Laboratories America
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- HARA Yoshinori
- Graduate School of Management, Kyoto University
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- TANAKA Katsumi
- Graduate School of Informatics, Kyoto University
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- UEMURA Shunsuke
- Graduate School of Information Science, Nara Institute of Science and Technology
Bibliographic Information
- Other Title
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- 重要なblogger発見を目的としたblogスレッド解析手法
- ジュウヨウナ blogger ハッケン オ モクテキ ト シタ blog スレッド カイセキ シュホウ
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Abstract
Recently, blog become an important tool for putting out the information and for communicating with other people. Then blog users are increasing. Thus, we can regard blog contents as public opinion connected with social events. Hence, we believe that we can obtain trustable information by using blog contents of important bloggers. In this paper, we define blog data model and types of important bloggers. Moreover, we propose and evaluate a method for discovering an Agitator, which we regard as the most important blogger, by analyzing real blog data. We have evaluated the recall rate of discovering Agitators and the appropriateness of blog sites which are judged as Agitator based on our method. Consequently, the results of evaluations show that our method is effective to discover an Agitator as important blogger.
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 19 (2), 156-166, 2007
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282680161638144
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- NII Article ID
- 110006250217
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 8801926
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed