payoffs depend on the social distance between them. We characterize the clustering coefficient and average path length in … distributions, positive assortativity of degrees, and clustering-degree correlation. …

third partners. We propose a micro perspective to understand how endogenous network effects, cognitive proximity of actors … and their interplay influence the evolutionary process of network formation in clusters. …

methodological tools assessing network characteristics at the dyadic level are lacking for aggregated networks (such as the network … knowledge flows. To do so we first define a new measure to assess 'network proximity' at the level of the regional dyad, based … European countries (France, Germany, Italy, Spain, the United Kingdom). The studied network is then composed of all the …

network formation. While the physics/applied mathematics approach is capable of reproducing most observed networks, it does … results with those obtained in sociology. -- random graph ; game theory ; centrality measures ; network formation ; weak and …

network formation. While the physics/applied mathematics approach is capable of reproducing most observed networks, it does … results with those obtained in sociology. -- Random graph ; game theory ; centrality measures ; network formation ; weak and …

This paper applies for the first time power index analysis to the famous Krackhardt’s kite social network by imposing a … weighted voting game on the given network structure. It compares the results of this analysis, derived by applying the Public … traditional centrality measures are rather a first approximation for evaluating the power in a network as they considerably …