Random Graphs with Realistic Neighborhood Modeling Based on Online Surveys (言語理解とコミュニケーション・第4回集合知シンポジウム)
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概要
- 論文の詳細を見る
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.
- 一般社団法人電子情報通信学会の論文
- 2012-12-12
著者
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Zhanikeev Marat
Faculty of Engineering, Tokyo University of Science
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Zhanikeev Marat
Faculty Of Engineering Tokyo University Of Science:global Information And Telecommunication Institute Waseda University
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Zhanikeev Marat
Faculty of Engineering Tokyo University of Science
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