Dynamic networks and behavior: separating selection from influence.
Steglich, Christian; Snijders, Tom; Pearson, Mike
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.
Steglich, C., Snijders, T., & Pearson, M. (2010). Dynamic networks and behavior: separating selection from influence. Sociological Methodology, 40, 329-393. https://doi.org/10.1111/j.1467-9531.2010.01225.x
|Journal Article Type||Article|
|Deposit Date||Apr 27, 2009|
|Publicly Available Date||Aug 31, 2010|
|Publisher||American Sociological Association|
|Peer Reviewed||Peer Reviewed|
|Keywords||behavioral dynamics; partner selection; social influence; dynamic networks; friendship formation; substance use;|
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