Network churn: The effects of self-monitoring personality on brokerage dynamics

Zuzana Sasovova, Ajay Mehra, Stephen P. Borgatti, Michaéla C. Schippers

Research output: Contribution to journalArticlepeer-review

236 Scopus citations


The apparent stability of social network structures may mask considerable change and adjustment in the ties that make up the structures. In this study, we theorize and test-using longitudinal data on friendship relations from a radiology department located in the Netherlands-the idea that the characteristics of this "network churn" and the resultant brokerage dynamics are traceable to individual differences in self-monitoring personality. High self-monitors were more likely than low self-monitors to attract new friends and to occupy new bridging positions over time. In comparison to low self-monitors, the new friends that high self-monitors attracted tended to be relative strangers, in the sense that they were unconnected with previous friends, came from different functions, and more efficiently increased the number of structural holes in the resultant network. Our study suggests that dispositional forces help shape the dynamic structuring of networks: individuals help (re)create the social network structures they inhabit.

Original languageEnglish
Pages (from-to)639-670
Number of pages32
JournalAdministrative Science Quarterly
Issue number4
StatePublished - 2010

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Sociology and Political Science
  • Public Administration


Dive into the research topics of 'Network churn: The effects of self-monitoring personality on brokerage dynamics'. Together they form a unique fingerprint.

Cite this