Presentation | 2006-07-13 Finding causal relations by analyzing blog communities Shinya TAKAMI, Katsumi TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The influence that a certain topic exerts may get into the news in a specific community. General consumers often discuss them actively on the Web as Blog spreads in recent years though they are not treated on a large scale as news offered from the mass media. In our research, we pay attention to the difference of the bursty characteristics in each Blog community, and we propose the technique to find causal relations from the blogosphere. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | causal relations / blog / community |
Paper # | DE2006-87 |
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Committee | DE |
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Conference Date | 2006/7/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Finding causal relations by analyzing blog communities |
Sub Title (in English) | |
Keyword(1) | causal relations |
Keyword(2) | blog |
Keyword(3) | community |
1st Author's Name | Shinya TAKAMI |
1st Author's Affiliation | Department of Social Informatics, Graduate School of Informatics, Kyoto University() |
2nd Author's Name | Katsumi TANAKA |
2nd Author's Affiliation | Department of Social Informatics, Graduate School of Informatics, Kyoto University |
Date | 2006-07-13 |
Paper # | DE2006-87 |
Volume (vol) | vol.106 |
Number (no) | 149 |
Page | pp.pp.- |
#Pages | 6 |
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