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  • 标题:Inferring friendship network structure by using mobile phone data
  • 本地全文:下载
  • 作者:Nathan Eagle ; Alex ; David Lazer
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2009
  • 卷号:106
  • 期号:36
  • 页码:15274-15278
  • DOI:10.1073/pnas.0900282106
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Data collected from mobile phones have the potential to provide insight into the relational dynamics of individuals. This paper compares observational data from mobile phones with standard self-report survey data. We find that the information from these two data sources is overlapping but distinct. For example, self-reports of physical proximity deviate from mobile phone records depending on the recency and salience of the interactions. We also demonstrate that it is possible to accurately infer 95% of friendships based on the observational data alone, where friend dyads demonstrate distinctive temporal and spatial patterns in their physical proximity and calling patterns. These behavioral patterns, in turn, allow the prediction of individual-level outcomes such as job satisfaction.
  • 关键词:engineering-social systems ; relational inference ; social network analysis ; reality mining ; relational scripts
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