| Presentation | 2017-11-17 Information Diffusion Model for Analyzing Temporal Variation of Contents Posted to SNSs Keisuke Nakajima, Masato Minamikawa, Shigeo Shioda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When an impressive event occurs in the real world, several contents related to the event are posted to the SNSs; the popularity of the contents rapidly grows and, after a peak, it usually fades over time. In this paper, we explain this temporal variation of contents in the SNSs by using the SIR model, which is often used as a mathematical model of infectious diseases. We find that the temporal variation of the number of contents posted to the SNSs largely depends on the network structure, for example, the degree of the source node of the content. We also find that the simulation results are very consistent with the analytical results obtained by the assumption that the states of neighbor nodes are not independent but strongly correlated. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | SNS / contents / SIR model / simulation / infectious desease / information diffusion / Markov chain |
| Paper # | CQ2017-84 |
| Date of Issue | 2017-11-09 (CQ) |
| Conference Information | |
| Committee | ICM / CQ / NS |
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| Conference Date | 2017/11/16(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Toshio Tonouchi(NEC) / Takanori Hayashi(Hiroshima Inst. of Tech.) / Hideki Tode(Osaka Pref. Univ.) |
| Vice Chair | Yuji Nomura(Fujitsu Labs.) / Yoichi Yamashita(NTT-N) / Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT) / Yoshikatsu Okazaki(NTT) |
| Secretary | Yuji Nomura(Fujitsu) / Yoichi Yamashita(KDDI R&D Labs.) / Hideyuki Shimonishi(NTT) / Jun Okamoto(Keio Univ.) / Yoshikatsu Okazaki(Kyushu Inst. of Tech.) |
| Assistant | Haruo Ooishi(NTT) / Kenko Ota(Nippon Inst. of Tech.) / Norihiro Fukumoto(KDDI R&D Labs.) / Ryo Yamamoto(UEC) / Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Management / Technical Committee on Communication Quality / Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Information Diffusion Model for Analyzing Temporal Variation of Contents Posted to SNSs |
| Sub Title (in English) | |
| Keyword(1) | SNS |
| Keyword(2) | contents |
| Keyword(3) | SIR model |
| Keyword(4) | simulation |
| Keyword(5) | infectious desease |
| Keyword(6) | information diffusion |
| Keyword(7) | Markov chain |
| 1st Author's Name | Keisuke Nakajima |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Masato Minamikawa |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Shigeo Shioda |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2017-11-17 |
| Paper # | CQ2017-84 |
| Volume (vol) | vol.117 |
| Number (no) | CQ-304 |
| Page | pp.pp.79-84(CQ), |
| #Pages | 6 |
| Date of Issue | 2017-11-09 (CQ) |