Research Output
8. Dynamic Networks and Behavior: Separating Selection from Influence
  A current problem in the analysis of behavioral dynamics, given a simultaneously evolving social network, is the difficulty of separating effects of partner selection from effects of social influence. In this paper we present a recently developed family of statistical models that enables researchers to separate the two effects in a statistically adequate manner. To illustrate our method we make use of a three-wave panel measured in the years 1995-1997 at a school in the West of Scotland. We are able to assess the strength of selection and influence mechanisms associated with friendship networks of substance-using adolescents.

  • Date:

    15 June 2010

  • Publication Status:

    Published

  • Publisher

    SAGE Publications

  • DOI:

    10.1111/j.1467-9531.2010.01225.x

  • ISSN:

    0081-1750

  • Library of Congress:

    HM Sociology

  • Dewey Decimal Classification:

    303 Social processes

  • Funders:

    Edinburgh Napier Funded

Citation

Steglich, C., Snijders, T., & Pearson, M. (2010). 8. Dynamic Networks and Behavior: Separating Selection from Influence. Sociological Methodology, 40(1), 329-393. https://doi.org/10.1111/j.1467-9531.2010.01225.x

Authors

Keywords

behavioral dynamics; partner selection; social influence; dynamic networks; friendship formation; substance use

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