Control theory approach to social network identificaition
| Project/Area Number |
21760337
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Control engineering
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| Research Institution | Kogakuin University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | コミュニティ同定 / ソーシャルネットワーク / 制御理論 / システム同定 |
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| Research Abstract |
This work focuses on the community identification problem in the social network and proposes a control theory approach to the problem. We utilize the influence network, where the dynamics of the social network is described as linear systems, and formulate the community identification problem as a linear hybrid system identification problem. This work proposes a matrix rank minimization and sparse optimization algorithm for the community identification. Numerical examples show the efficiency of the proposed algorithm.
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Report
(4 results)
Research Products
(12 results)
