Analyses of social contagion and construction of false rumor's control methods using large scale web data
| Project/Area Number |
25750130
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | National Institute of Informatics (2016)
The University of Tokyo (2014-2015)
Waseda University (2013) |
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Principal Investigator |
Yamada Kenta 国立情報学研究所, 金融スマートデータ研究センター, 特任助教 (00609703)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 大規模ソーシャルデータ解析 / 時系列解析 / エージェントベースモデル / 確率過程 / 大規模ソーシャルデータ分析 / 大規模データ分析 / 経験則の確立 |
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| Outline of Final Research Achievements |
We analyzed large scale social data and confirmed empirical laws of trending words. Then we constructed agent-based model which reproduces the empirical laws. Namely we clarified the relationships between microscopic agents’ behaviors and macroscopic dynamics of trending words. By analyzing the agent-based model theoretically, we introduced “life cycle equation of trending words” which characterizes the time evolution of trending words' frequency. Also we constructed early detection and control methods of false rumors.
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Report
(5 results)
Research Products
(19 results)
