Research Output

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.

  • Type:

    Article

  • Date:

    31 July 2010

  • Publication Status:

    Published

  • Publisher

    American Sociological Association

  • DOI:

    10.1111/j.1467-9531.2010.01225.x

  • ISSN:

    0081-1750

  • Library of Congress:

    HM Sociology

  • Dewey Decimal Classification:

    303 Social processes

Citation

Steglich, C., Snijders, T. & Pearson, M. (2010). Dynamic networks and behavior: separating selection from influence. Sociological Methodology. 40, 329-393. doi:10.1111/j.1467-9531.2010.01225.x. ISSN 0081-1750

Keywords

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

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