Modeling the Coevolution of Networks and Behavior

By Tom A. B. Snijders, Christian E. G. Steglich, Michael Schweinberger. 2007

500 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/0175d2673549f833169116da3a2e78fb7f11fb3d

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In Management Science and Operations Research

In Statistical and Nonlinear Physics

Citations in the corpus

Introduction to stochastic actor-based models for network dynamics (2010, background): “More precise explanations can be found in Snijders (2001, 2005) and Snijders, Steglich, and Schweinberger (2007).”
Transformations in adolescent peer networks (2011, methodology): “A growing body of researchers use longitudinal social network data to simultaneously investigate network and behavior dynamics among adolescents (Snijders et al., 2007; Veenstra & Steglich, 2011).”
Manual for RSiena (2011, methodology): “Basic references for the model of network-behavior co-evolution are Snijders et al. (2007) and Steglich et al. (2010).”
Network–Behavior Dynamics (2013, methodology): “In the absence of specific theory, parameter choice can be facilitated by comparing different model specifications with a score type test (Snijders et al., 2007).”
Beyond dyadic interdependence: Actor-oriented models for co-evolving social networks and individual behaviors (2007, methodology): “The complexity of the resulting model does not allow for its properties to be explicitly calculated, but the model may be implemented as a computer simulation model and parameter estimates can be estimated from iterative simulations within a Markov chain Monte Carlo (MCMC) approach (Snijders, 2005; ”
Friendship and Delinquency: Selection and Influence Processes in Early Adolescence (2010, methodology): “For the analyses of our selected classes we follow a strategy of forward model selection (Snijders et al., 2007a) by first fitting a simple model that does not contain any effects representing friendship selection based on delinquency or influence of friends on delinquent behavior.”
A Separable Model for Dynamic Networks (2010, methodology): “This model was then extended by Snijders, Steglich, and Schweinberger (2007) to jointly model actors’ network-related choices (“selection”) and the eﬀects of neighboring actors on each other’s attributes (“inﬂuence”).”
INFLUENCE AND SELECTION PROCESSES IN WEAPON CARRYING DURING ADOLESCENCE: THE ROLES OF STATUS, AGGRESSION, AND VULNERABILITY* (2010, methodology): “Therefore, the program allowed one to test both selection and influence effects while controlling for the other (Burk, Steglich, and Snijders, 2007; Snijders et al., 2007; Steglich, Snijders, and Pearson, 2010; Steglich, Snijders, and West, 2006).”