| Presentation | 2020-06-05 Analysis of influence of network structure on information diffusion Luyan XU, Kazuya Sawada, Yutaka Shimada, Tohru Ikeguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose an information diffusion model with eigenvector centrality. Using the proposed model, we investigated the relationship between the influence of information and the final diffusion rates on regular and random networks, when we change the influence of information. Next, we investigated the relationship between the influence of information and the average spreading speed on regular and random networks, when we change the influence of information. As a result, we found that the final diffusion rates on regular network are higher than those on random networks. When the influence of information increases, the difference of the final diffusion rates between regular and random networks increases to a peak value, and finally converges to a small value. On the other hand, when information spreads to the entire network, we found that the average spreading speed on random networks is faster than that on regular networks. In addition, the difference of the average spreading speed between regular and random networks increases with the influence of information. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Information diffusion / Complex network / Mathematical model / Network centrality |
| Paper # | NLP2020-15,CCS2020-5 |
| Date of Issue | 2020-05-29 (NLP, CCS) |
| Conference Information | |
| Committee | CCS / NLP |
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| Conference Date | 2020/6/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Shonan Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Kiyohisa Natsume(Kyushu Inst. of Tech.) |
| Vice Chair | Tetsuya Asai(Hokkaido Univ.) / Megumi Akai(Hokkaido Univ.) / Takuji Kosaka(Chukyo Univ.) |
| Secretary | Tetsuya Asai(Kanagawa Inst. of Tech.) / Megumi Akai(TDK) / Takuji Kosaka(Kyushu Inst. of Tech.) |
| Assistant | Hidehiro Nakano(Tokyo City Univ.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.) / Kosuke Sanada(Mie Univ.) / Toshikaza Samura(Yamaguchi Univ.) / Hideyuki Kato(Oita Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Complex Communication Sciences / Technical Committee on Nonlinear Problems |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of influence of network structure on information diffusion |
| Sub Title (in English) | |
| Keyword(1) | Information diffusion |
| Keyword(2) | Complex network |
| Keyword(3) | Mathematical model |
| Keyword(4) | Network centrality |
| 1st Author's Name | Luyan XU |
| 1st Author's Affiliation | Tokyo University of Science(TUS) |
| 2nd Author's Name | Kazuya Sawada |
| 2nd Author's Affiliation | Tokyo University of Science(TUS) |
| 3rd Author's Name | Yutaka Shimada |
| 3rd Author's Affiliation | Saitama University(SU) |
| 4th Author's Name | Tohru Ikeguchi |
| 4th Author's Affiliation | Tokyo University of Science(TUS) |
| Date | 2020-06-05 |
| Paper # | NLP2020-15,CCS2020-5 |
| Volume (vol) | vol.120 |
| Number (no) | NLP-55,CCS-56 |
| Page | pp.pp.23-26(NLP), pp.23-26(CCS), |
| #Pages | 4 |
| Date of Issue | 2020-05-29 (NLP, CCS) |