| Presentation | 2019-03-07 Optimization of Communication Partners in Twitter for People with Mood Disorder Naoya Ito, Tomoko Yonezawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Considering the influence of people with mood disorders from other people through Twitter use, we treated the SNS connection with other users as an optimization problem. Based on Tweets acquired from Twitter API, we classified the gathered account users into into the four levels of the severity. We set the number of people connected with the user (the number of connection) as the constraint while obtaining positive remarks of other users who are similar level of mood disorder to the target user. We formulated them as a nonlinear knapsack problem and optimized them using a global greedy method which can obtain high quality solutions at high speed by approximate solution. From the results of evaluation, we discuss which level and how many people are best involved from the obtained solution. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Twitter / SNS / data mining / optimisation |
| Paper # | HCS2018-71 |
| Date of Issue | 2019-02-28 (HCS) |
| Conference Information | |
| Committee | HCS |
|---|---|
| Conference Date | 2019/3/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokusei Gakuen Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Past and future of communication research, etc. |
| Chair | Masafumi Matsuda(NTT) |
| Vice Chair | Nobuyuki Watanabe(Kanazawa Inst. of Tech.) / Tomoo Inoue(Univ. of Tsukuba) |
| Secretary | Nobuyuki Watanabe(Ritsumeikan Univ.) / Tomoo Inoue(Osaka Electro-Comm. Univ.) |
| Assistant | Kazuki Takashima(Tohoku Univ.) / Ken Fujiwara(Osaka Univ. of Economic) / Kazunori Terada(Gifu Univ.) / Atsushi Kimura(Nihon Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Human Communication Science |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Optimization of Communication Partners in Twitter for People with Mood Disorder |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | SNS |
| Keyword(3) | data mining |
| Keyword(4) | optimisation |
| 1st Author's Name | Naoya Ito |
| 1st Author's Affiliation | Kansai University Graduate School(Kansai Univ) |
| 2nd Author's Name | Tomoko Yonezawa |
| 2nd Author's Affiliation | Kansai University(Kansai Univ) |
| Date | 2019-03-07 |
| Paper # | HCS2018-71 |
| Volume (vol) | vol.118 |
| Number (no) | HCS-487 |
| Page | pp.pp.25-30(HCS), |
| #Pages | 6 |
| Date of Issue | 2019-02-28 (HCS) |