| Presentation | 2012-12-19 Random Graphs with Realistic Neighborhood Modeling Based on Online Surveys Marat ZHANIKEEV, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Random Graphs is an area of Social Network Analysis (SNA) which, in a nutshell, attempts to find good models for synthesis of realistic social graphs. Random graphs should work on any scale but they are usually used for synthesis of very large graphs which can then be used for analysis. This paper attempts to add some level of practical realism to the process by applying online survey results to modeling of graph neighborhoods. Although such graphs are not strictly random, they are better models of a particular social environment from which the survey data was collected. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | random graphs / neighborhood modeling / social graphs / snowball sampling |
| Paper # | NLC2012-36 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2012/12/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Random Graphs with Realistic Neighborhood Modeling Based on Online Surveys |
| Sub Title (in English) | |
| Keyword(1) | random graphs |
| Keyword(2) | neighborhood modeling |
| Keyword(3) | social graphs |
| Keyword(4) | snowball sampling |
| 1st Author's Name | Marat ZHANIKEEV |
| 1st Author's Affiliation | Faculty of Engineering, Tokyo University of Science() |
| Date | 2012-12-19 |
| Paper # | NLC2012-36 |
| Volume (vol) | vol.112 |
| Number (no) | 367 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |