93
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Inferring friendship network structure by using mobile phone data.

      Proceedings of the National Academy of Sciences of the United States of America
      Adult, Cell Phones, statistics & numerical data, Communication, Data Collection, methods, Factor Analysis, Statistical, Friends, Humans, Observation, Social Behavior, Students

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Author and article information

          Journal
          19706491
          2741241
          10.1073/pnas.0900282106

          Chemistry
          Adult,Cell Phones,statistics & numerical data,Communication,Data Collection,methods,Factor Analysis, Statistical,Friends,Humans,Observation,Social Behavior,Students

          Comments

          Comment on this article