| Presentation | 2019-05-30 Follow-oriented analysis of Twitter users using degree distribution of adjacent nodes Yusuke Azuma, Chisa Takano, Kaori Maeda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, SNS has become widespread due to the development of network technology and the spread of communication devices. In particular, Twitter has a strong influence on information dissemination and diffusion. Therefore, in this research, the actual number data of Twitter is used to investigate the follower number distribution, and comparison with the BA model of the conventional complex network generation model, and the influencer (information originator with a large number of followers) leading the service Analyze and compare the structure of partial networks and clarify the characteristics. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | SNS / Twitter / BA model / Influencer / Intention characteristic |
| Paper # | CQ2019-16 |
| Date of Issue | 2019-05-23 (CQ) |
| Conference Information | |
| Committee | CQ |
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| Conference Date | 2019/5/30(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima City University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Efficiency of Wireless Communications, Wireless Communication Quality, MIMO/Diversity/Multiplexing Techniques, Radio Resource Management, Cross-Layer Techniques, etc. |
| Chair | Takanori Hayashi(Hiroshima Inst. of Tech.) |
| Vice Chair | Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT) |
| Secretary | Hideyuki Shimonishi(NTT) / Jun Okamoto(Nippon Inst. of Tech.) |
| Assistant | Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Ryo Yamamoto(UEC) |
| Paper Information | |
| Registration To | 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) | Follow-oriented analysis of Twitter users using degree distribution of adjacent nodes |
| Sub Title (in English) | |
| Keyword(1) | SNS |
| Keyword(2) | |
| Keyword(3) | BA model |
| Keyword(4) | Influencer |
| Keyword(5) | Intention characteristic |
| 1st Author's Name | Yusuke Azuma |
| 1st Author's Affiliation | Hiroshima City University(Hiroshima City Univ.) |
| 2nd Author's Name | Chisa Takano |
| 2nd Author's Affiliation | Hiroshima City University(Hiroshima City Univ.) |
| 3rd Author's Name | Kaori Maeda |
| 3rd Author's Affiliation | Hiroshima City University(Hiroshima City Univ.) |
| Date | 2019-05-30 |
| Paper # | CQ2019-16 |
| Volume (vol) | vol.119 |
| Number (no) | CQ-61 |
| Page | pp.pp.27-32(CQ), |
| #Pages | 6 |
| Date of Issue | 2019-05-23 (CQ) |