Theoretical analysis of Twitter burst time series based on the RT diffusion and its application
| Project/Area Number |
25730184
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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 |
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, 助教 (10512105)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | ソーシャルメディア分析 / Twitter / exogeneity / endogeneity / 興奮性媒体 / バースト / 内因性 / 外因性 / 興奮性媒質 / ソーシャルメディア / 時系列 / ツイッター |
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| Outline of Final Research Achievements |
For a long time, the temporal behavior of human beings had appeared to follow the random process (Poisson process). However, in 2005, Albert Barabasi's research group considered human behavior as intermittent behavior (burst) and preached the importance of such a burst-like behavior. The purpose of this study is to clarify the detailed mechanism of the burst using a large amount of data from the social media. Results of the analysis revealed two classes of mechanisms causing burst; one is the endogenous burst and the other is exogenous burst. We found that there exists a critical fluctuation threshold that separates these two bursts.
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Report
(3 results)
Research Products
(7 results)
