Modeling, Analysis, and Control of Large-Scale Content-Centric Networking
| Project/Area Number |
25280030
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Information network
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| Research Institution | Kwansei Gakuin University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥12,220,000 (Direct Cost: ¥9,400,000、Indirect Cost: ¥2,820,000)
Fiscal Year 2015: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2013: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
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| Keywords | ネットワークアーキテクチャ / コンテンツセントリックネットワーク / 情報拡散 / モデル化 / 制御 / 情報ネットワーク / 大規模ネットワーク / ネットワークモデル化 |
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| Outline of Final Research Achievements |
In this research, we developed an analytic framework for analyzing information diffusion dynamics in a large-scale content-centric networking. Using our analytic framework, we have realized a large-scale content-centric networking. Specifically, this research tackled the two main challenges: (1) fluid-based modeling of a large-scale content-centric networking, and (2) control-theoretic dynamical analysis of a large-scale content-centric networking.
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Report
(4 results)
Research Products
(87 results)
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[Journal Article] Recognizing depression from Twitter activity2015
Author(s)
S. Tsugawa, Y. Kikuchi, F. Kishino, K. Nakajima, Y. Itoh, and H. Ohsaki
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Journal Title
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI 2015),
Volume: なし
Pages: 3187-3196
Related Report
Peer Reviewed / Acknowledgement Compliant
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