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Modeling History Dependence In Network-Behavior Coevolution, Robert J. Franzese Jr., Jude Hays, Aya Kachi
Modeling History Dependence In Network-Behavior Coevolution, Robert J. Franzese Jr., Jude Hays, Aya Kachi
Working Papers
Spatial interdependence--the dependence of outcomes in some units on those in others--is substantively and theoretically ubiquitous and central across the social sciences. Spatial association is also omnipresent empirically. However, spatial association may arise from three importantly distinct processes: common exposure of actors to exogenous external and internal stimuli, interdependence of outcomes/behaviors across actors (contagion), and/or the putative outcomes may affect the variable along which the clustering occurs (selection). Accurate inference about any of these processes generally requires an empirical strategy that addresses all three well. From a spatial-econometric perspective, this suggests spatiotemporal empirical models with exogenous covariates (common exposure) and …
Network Selection And "Path-Dependent" Coevolution, Aya Kachi, Jude C. Hays, Robert J. Franzese Jr.
Network Selection And "Path-Dependent" Coevolution, Aya Kachi, Jude C. Hays, Robert J. Franzese Jr.
2010
Scholars have increasingly become aware that actors’ self-selection into networks (e.g., homophily) is an important determinant of network-tie formation. Such self-selection adds methodological complexity to the empirical evaluation of the effects of network ties on individual behavior. Moreover, the endogenous network formation implies that network-tie structures and actors’ behavior “coevolve” over time. Therefore, in longitudinal network studies, it is very crucial for scholars to understand the nature of coevolutionary dynamics in the data, in order to explain the network-formation and the behavioral-decision-making mechanisms accurately. In this project, we claim that one of the most important aspects of the coevolutionary dynamic …