| Presentation | 2020-03-06 Analysis of the Time Evolution of Influence and Spreading Power of Twitter Users Minami Uehara, Sho Tsugawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For a successful viral marketing campaign on social media, it is important to spread information to many users. The size of the cascade of information spreading depends on who posts the information and who reposts the information. Therefore, finding influencers who can spread their posts widely and spreaders who can spread other users' posts widely is a key to realize effective viral marketing. Influencers and spreaders on social media may change over time. However, how the influence and spreading power of social media users change over time has not been fully explored. In this paper, we investigate the time evolution of the influence of influencers and spreading power of spreaders on Twitter. We extract influencers and spreaders and track their influence and spreading power over a one-year period. Our results show that the influence of influencers and spreading power of spreaders are generally stable, and 50--60% of influencers and spreaders have highly stable influence and spreading power. Moreover, we discuss the characteristics of the stable influencers and spreaders using their centrality measures. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | social network / social media / centrality / influence |
| Paper # | CQ2019-154 |
| Date of Issue | 2020-02-27 (CQ) |
| Conference Information | |
| Committee | IE / IMQ / MVE / CQ |
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| Conference Date | 2020/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of the Time Evolution of Influence and Spreading Power of Twitter Users |
| Sub Title (in English) | |
| Keyword(1) | social network |
| Keyword(2) | social media |
| Keyword(3) | centrality |
| Keyword(4) | influence |
| 1st Author's Name | Minami Uehara |
| 1st Author's Affiliation | University of Tsukuba(Univ. of Tsukuba) |
| 2nd Author's Name | Sho Tsugawa |
| 2nd Author's Affiliation | University of Tsukuba(Univ. of Tsukuba) |
| Date | 2020-03-06 |
| Paper # | CQ2019-154 |
| Volume (vol) | vol.119 |
| Number (no) | CQ-455 |
| Page | pp.pp.101-106(CQ), |
| #Pages | 6 |
| Date of Issue | 2020-02-27 (CQ) |