| 講演抄録/キーワード |
| 講演名 |
2012-12-19 14:50
Random Graphs with Realistic Neighborhood Modeling Based on Online Surveys ○Marat Zhanikeev(Tokyo Univ. of Science) NLC2012-36 |
| 抄録 |
(和) |
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. |
| (英) |
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. |
| キーワード |
(和) |
random graphs / neighborhood modeling / social graphs / snowball sampling / / / / |
| (英) |
random graphs / neighborhood modeling / social graphs / snowball sampling / / / / |
| 文献情報 |
信学技報, vol. 112, no. 367, NLC2012-36, pp. 19-22, 2012年12月. |
| 資料番号 |
NLC2012-36 |
| 発行日 |
2012-12-12 (NLC) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
NLC2012-36 |