An interactive visualization interface for studying egocentric, categorical, contact diary datasets

  • Authors:
  • Chris Bryan;Kwan-Liu Ma;Yang-Chih Fu

  • Affiliations:
  • University of California, Davis, California;University of California, Davis, California;Institute of Sociology, Academia Sinica, Taipei City, Taiwan

  • Venue:
  • Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
  • Year:
  • 2013

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Abstract

Contact diaries are interpersonal communication logs which are obtained in sociological and epidemiological studies. These logs can be used to study the social patterns of communities over a period of time. A dataset composed of diaries maps well to a set of one-tiered, categorical, independent and egocentric networks. This paper presents an interface for visualization and analysis of contact diaries datasets using an interactive radial mapping scheme, with case studies illustrating a standard workflow using the application. We facilitate individual diary analysis, multi-dataset comparison, and an overlay interface for investigating a set of many diaries in a singular space. With this interface, network researchers can utilize visualization to enhance their analysis of contact diaries.