Network–Behavior Dynamics


  • We would like to thank all reviewers for their valuable comments on earlier drafts of the contributions to this special issue. All articles in this special issue were discussed during weekly meetings of the research line Social Development of Adolescents at the University of Groningen. This research line is coordinated by René Veenstra and Jan Kornelis Dijkstra. We thank the following members for their useful inputs: Anke Munniksma, Ashwin Rambaran, Beau Oldenburg, Britta Ruschoff, David Duijst, Femke Munniksma, Gijs Huitsing, Jelle Sijtsema, Judit Pál, Kim Pattiselanno, Loes van Rijsewijk, Louisa Firnenburg, Miranda Sentse, Rozemarijn van der Ploeg, Tina Kretschmer, Vera Hanewinkel, and Vera Heininga. Part of this research was funded by the Netherlands Organisation for Scientific Research (NWO): VENI Project number 451-10-012 awarded to Jan Kornelis Dijkstra (2010).

Requests for reprints should be sent to René Veenstra, Department of Sociology and Interuniversity Center for Social Science Theory and Methodology (ICS), University of Groningen, Grote Rozenstraat 31, 9712 TG, Groningen, The Netherlands. E-mail:


Researchers have become increasingly interested in disentangling selection and influence processes. This literature review provides context for the special issue on network–behavior dynamics. It brings together important conceptual, methodological, and empirical contributions focusing on longitudinal social network modeling. First, an overview of mechanisms underlying selection and influence is given. After a description of the shortcomings of previous studies in this area, the stochastic actor-based model is sketched; this is used in this special issue to examine network–behavior dynamics. The preconditions for such analyses are discussed, as are common model specification issues. Next, recent empirical advances in research on adolescence are discussed, focusing on new insights into moderating effects, initiation of behaviors, time heterogeneity, mediation effects, and negative ties.