| Presentation | 2020-06-25 Analysis of the Effects of Community Structure in Social Network on the Speed of Information Diffusion among Twitter Users Nako Tsuda, Sho Tsugawa, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Social media users can widely disseminate information, potentially affecting societal trends. Therefore, understanding factors affecting information diffusion in social media is important for successful viral marketing campaigns. In this paper, we focus on the community structure of social networks among Twitter users and investigate how that structure affects the speed of diffusion by retweets. Extracting communities among sampled Twitter users, we investigate differences in diffusion speed between tweets with many intra-community retweets and those with many inter-community retweets. Consequently, we show that tweets with many intra-community retweets tend to spread slowly. We also use community structures in Twitter social networks to tackle the tasks of predicting time intervals between a first tweet and its $N$-th retweet. We show that the community structure features in a social network are effective for predicting information diffusion speed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Social network / Community structure / Diffusion speed / Social media |
| Paper # | CQ2020-6 |
| Date of Issue | 2020-06-18 (CQ) |
| Conference Information | |
| Committee | CQ / CS |
|---|---|
| Conference Date | 2020/6/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. |
| Chair | Hideyuki Shimonishi(NEC) / Jun Terada(NTT) |
| Vice Chair | Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) / Daisuke Umehara(Kyoto Inst. of Tech.) |
| Secretary | Jun Okamoto(Doshisha Univ.) / Takefumi Hiraguri(NICT) / Daisuke Umehara(NTT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research) / Hiroyuki Saito(OKI) / Takahiro Yamaura(Toshiba) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Communication Systems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of the Effects of Community Structure in Social Network on the Speed of Information Diffusion among Twitter Users |
| Sub Title (in English) | |
| Keyword(1) | Social network |
| Keyword(2) | Community structure |
| Keyword(3) | Diffusion speed |
| Keyword(4) | Social media |
| 1st Author's Name | Nako Tsuda |
| 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 | 2020-06-25 |
| Paper # | CQ2020-6 |
| Volume (vol) | vol.120 |
| Number (no) | CQ-76 |
| Page | pp.pp.31-36(CQ), |
| #Pages | 6 |
| Date of Issue | 2020-06-18 (CQ) |