Abstract We experimentally study equilibrium selection in repeated coordination games played on networks. We test predictions from three competing theories. In line with payoff-dominance as a deductive selection principle, experienced subjects coordinate on the payoff-dominant (but...

Abstract Individuals' cognitive knowledge of their social networks is affected by systematic biases. This paper investigates the role of the mean degree bias , i.e. the tendency to underestimate the number of connections of others, in determining the structure of stable networks. It develops a...

Abstract We test theoretical results from Golub and Jackson (2012a), which are based on a random network model, regarding time to convergence of a learning/behavior-updating process. In particular, we see how well those theoretical results match the process when it is simulated on empirically...

Abstract Regulators have proposed various institutional alternatives to secure network resource adequacy and reasonably priced electric power for consumers. These alternatives prompt many difficult questions: Does the development of Demand Response reduce the need for new capacity? How...

Abstract We present an economic experiment on network formation, in which subjects can decide to form links to one another. Direct links are costly but being connected is valuable. The game-theoretic basis for our experiment is the model of Bala and Goyal (2000). They distinguish between two...

Abstract Using spatial data analysis techniques, we compare the spatial distribution of crime and the black population density across the London boroughs. We show that the higher is the density of the black population in a given borough, the higher is the crime rate. This effect is still...

Abstract A firm wishes to inform a community of individuals about its product. Information travels within the community because of the social interactions between individuals. We establish that social interactions appear in a firm's payoff as a network multiplier, which is increasing both in the...

Abstract The aim of the special issue is to explore open problems at the frontier of the Economics of Social Networks. The papers in this special issue range across pure and applied theory and empirical investigations, and in this they reflect the richness of on-going research in the economics...

Using a unique data set on criminal profiles of 800 US Mafia members active in the 1950s and 1960s and on their connections within the Cosa Nostra network, we use simple network analysis techniques to document the structure and composition of the geometry of criminal ties between mobsters. The...

Using spatial data analysis techniques, we compare the spatial distribution of crime and the black population density across the London boroughs. We show that the higher is the density of the black population in a given borough, the higher is the crime rate. This effect is still positive but...