Methodological Issues in Studying Effects of Networks inOrganizations

Authors:
Tom A. B. Snijders
Affiliations:
Department of Statistics and Measurement Theory/ICS, University of Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands. E-mail: T.A.B.Snijders@ppsw.rug.nl
Venue:
Computational & Mathematical Organization Theory
Year:
1998

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Abstract

Three methodological issues are discussed that are importantfor the analysis of data onnetworks in organizations. The first is the two-level nature of thedata: individuals are nested in organizations. This can be dealt with byusing multilevel statistical methods. The second is the complicatednature of statistical methods for network analysis.The third issue is the potential of mathematical modeling for the studyof network effects and network evolution in organizations. Two examples aregiven of mathematical models for gossip in organizations. The first exampleis a model for cross-sectional data, the second is a model for longitudinaldata that reflect the joint development of network structure and individualbehavior tendencies.