“Modeling the co-evolution of networks and behavior.”
By Tom Snijders, Christian Steglich, and Michael Schweinberger, 2007.
Chapter 3 in Kees van Montfort, Han Oud and Albert Satorra (eds.), Longitudinal models in the behavioral and related sciences, Mahwah, NJ: Lawrence Erlbaum.

A deeper understanding of social action and social structure can be obtained by studying the dynamics of individual outcomes and network structure, and how these mutually affect each other. In methodological terms, this means that network structure as well as relevant actor attributes – indicators of performance and success, attitudes and other cognitions, behavioral tendencies – are studied as joint dependent variables in a longitudinal framework where the network structure and the individual attributes simultaneously constitute a dynamic process. We propose a statistical methodology for this type of investigation and illustrate it by an example.

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