| Presentation | 2013-06-22 Identifying Topics and Influential Users based on Information Propagation in Twitter Guanying ZHOU, Xuan ZHANG, Hayato YAMANA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, Twitter has become an efficient tool for product promotion. Thus, both how to measure the influence of individuals and to identify influential Twitter users have great research value. Most of previous researches about influential Twitter users identification have been concentrated on the following and/or friend relationships over user network without taking the factors of real information propagation into account. We believe influential users are those who spread information in the propagation and thus they are key figures in advertising for commercial companies. In this paper, we proposed a new method to identify influential Twitter users in some popular topics in Twitter based on retweet relationship. We use LDA to detect topics and then rank Twitter users in each topic. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Twitter / User / Topic / PageRank |
| Paper # | DE2013-11 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2013/6/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Identifying Topics and Influential Users based on Information Propagation in Twitter |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | User |
| Keyword(3) | Topic |
| Keyword(4) | PageRank |
| 1st Author's Name | Guanying ZHOU |
| 1st Author's Affiliation | Graduate School of Fundamental Science and Engineering, Waseda University() |
| 2nd Author's Name | Xuan ZHANG |
| 2nd Author's Affiliation | Advanced Technology Lab, Recruit Holdings |
| 3rd Author's Name | Hayato YAMANA |
| 3rd Author's Affiliation | Graduate School of Fundamental Science and Engineering, Waseda University |
| Date | 2013-06-22 |
| Paper # | DE2013-11 |
| Volume (vol) | vol.113 |
| Number (no) | 105 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |