| Presentation | 2011-12-16 A Study of Information Diffusion Model Considering Update of a Social Network Masaki OONO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We study the combinational optimizaion problem of finding the most influential nodes on a social network. Kempe's method based on a general greedy algorithm can give a good approximate solution to the problem. However, the approximation performance of Kempe's method deteriorates because the method doesn't consider the change of the number of nodes and the number of edges. In this paper, I propose a new method to extract the viral nodes efficiently from the dynamic social network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Social network analysis / Information diffusion model / Influence maxmization problem / Dynamic network |
| Paper # | DE2011-48 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2011/12/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Information Diffusion Model Considering Update of a Social Network |
| Sub Title (in English) | |
| Keyword(1) | Social network analysis |
| Keyword(2) | Information diffusion model |
| Keyword(3) | Influence maxmization problem |
| Keyword(4) | Dynamic network |
| 1st Author's Name | Masaki OONO |
| 1st Author's Affiliation | Faculty of Informatics and Engineering, University of Electro-Communications() |
| Date | 2011-12-16 |
| Paper # | DE2011-48 |
| Volume (vol) | vol.111 |
| Number (no) | 361 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |