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Ways of Knowing in HCI pp 421–447Cite as

Social Network Analysis in HCI

Abstract

Social network analysis calculates and displays the relationships that exist among a collection of people, like those on a project, in an organization, or participating in a blog. From this analysis, the researcher can find key people, outliers, subgroups, and people who bridge subgroups. And, these analyses can reveal changes over time, for example, before and after a technology is introduced.

Keywords

  • Social Network
  • Network Analysis
  • Social Network Analysis
  • Social Networking Site
  • Twitter User

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  1. School of Technology, Brigham Young University, 265 Crabtree Bldg, Provo, UT, 84602, USA

    Derek L. Hansen

  2. Social Media Research Foundation, 2617 Hallmark Drive, Belmont, CA, 94002, USA

    Marc A. Smith

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  1. Derek L. Hansen
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Correspondence to Derek L. Hansen .

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  1. University of California, Irvine, Irvine, California, USA

    Judith S. Olson

  2. Group Social Computing, IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Wendy A. Kellogg

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Hansen, D.L., Smith, M.A. (2014). Social Network Analysis in HCI. In: Olson, J., Kellogg, W. (eds) Ways of Knowing in HCI. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0378-8_17

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  • DOI: https://doi.org/10.1007/978-1-4939-0378-8_17

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