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. …

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 …

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. …

We consider a network game based on matching pennies with two types of agents, conformists and rebels. Conformists … simultaneous best response dynamic focusing on the lengths of limit cycles (LLC for short). Our results imply that the network … structure generally plays a very crucial role in determining LLC. When the network is a line or a ring, for almost all type …

. Given the structural features of a network, there is limited consensus on how to select the appropriate centrality measure …

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 …

We propose new models, simulations, and data analyses to elaborate on the process of formation of a network. In these …/trading/infecting, etc. We derive closed forms for network characteristics and conduct simulations to verify that our models depict the … properties of network formation well. Finally, we show the applicability of our models by fitting them to a network dataset …