Understanding and predicting burst phenomena in social media
| Project/Area Number |
15K00420
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | University of Tsukuba |
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Principal Investigator |
Oka Mizuki 筑波大学, システム情報系, 准教授 (10512105)
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| Co-Investigator(Kenkyū-buntansha) |
池上 高志 東京大学, 大学院総合文化研究科, 教授 (10211715)
橋本 康弘 東京大学, 大学院新領域創成科学研究科, 特任研究員 (10376494)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | ソーシャルメディア / ソーシャルタギング / Yule-Simon過程 / Yule-Simonモデル |
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| Outline of Final Research Achievements |
Social media such as Facebook, Twitter, Instagram etc. are widely used as information sharing tool. These social media are drawing attention as a research platform to understand the emergent dynamics of collective behavior and group attention. In this research, we focused on "tags" and developed a mathematical model on how new tags are created and used and conducted detailed analysis to understand their dynamics.
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Report
(4 results)
Research Products
(14 results)
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[Presentation] Open-ended evolution in a web system2015
Author(s)
Mizuki Oka, Yasuhiro Hashimoto, and Takashi Ikegami
Organizer
Proceedings of the 13th European Conference on Artificial Life
Place of Presentation
York (UK)
Year and Date
2015-07-20
Related Report
Int'l Joint Research
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