| Presentation | 2010-06-14 Multifaceted Data Mining with Influence Diffusion Model Naohiro MATSUMURA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we present Multifaceted Data Mining, an approach to analyzes social data from single-criteria multi-point-of-view by using Influence Diffusion Model (IDM). IDM is an algorithm to measure the influence of users and topics, their mutual relations, etc. based on the structural features and contents of message threads. After describing a mathematical model of IDM, we show an example of proposed approach by applying IDM to Twitter dataset. We also investigate IDM's order of computation and sensitivity. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Influence Diffusion Model / Multifaceted Data Mining |
| Paper # | IBISML2010-13 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2010/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multifaceted Data Mining with Influence Diffusion Model |
| Sub Title (in English) | |
| Keyword(1) | Influence Diffusion Model |
| Keyword(2) | Multifaceted Data Mining |
| 1st Author's Name | Naohiro MATSUMURA |
| 1st Author's Affiliation | Graduate School of Economics, Osaka University() |
| Date | 2010-06-14 |
| Paper # | IBISML2010-13 |
| Volume (vol) | vol.110 |
| Number (no) | 76 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |