opposite effect. Furthermore, I explore the effect of networks on diffusion of addiction and, using simulations, find that …Social networks are an important component in understanding the decision to consume addictive substances. They capture … influence each other in their decision to consume an addictive good. An agent's decision is sensitive to her state of addiction …

opposite effect. Furthermore, I explore the effect of networks on diffusion of addiction and, using simulations, find that …Social networks are an important component in understanding the decision to consume addictive substances. They capture … influence each other in their decision to consume an addictive good. An agent's decision is sensitive to her state of addiction …

We consider a connection networks model. Every agent has a demand in the form of pairs of locations she wants connected …, and a willingness to pay for connectivity. A planner aims at implementing a welfare maximizing network and allocating the … implementable correspondences. We show the correspondence of consisting of welfare maximizing networks and individually rational …

The paper proposes a game of weighted network formation in which each agent has a limited resource to form links of …, uniquely predicts the equilibrium values of each agent's network investment and utility level, as well as the ratio of any two …

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 …

neighbors in the social network. The same activities often exert externalities that cumulate in "stocks" affecting agents … network of social relations, as agents display strategic substitution with distance-two neighbors. We show that behavior is … behavior and key-players tend to move to the periphery of the network, and we discuss the effect of close-knit communities and …

We characterize dynamic rational addiction to a harmful product by an informed individual who is connected to a network … individual particularly prone to addiction, who may also abstain from the product, a network contributing to the individual …, or reducing the network's consumption) can prevent addiction if implemented early enough along the individual's optimal …

interaction networks have been also signaled as an element favoring the persistence of cooperators. Here we consider the invasion … dynamics of cooperative behaviors in complex topologies. The invasion of a heterogeneous network fully occupied by defectors is … findings have potential applications to the problem of promoting pro-social behaviors in complex networks …

We develop a model of social preferences for network games and study its predictions in a local public goods game with … a property of the network structure: neighborhood nestedness. This means that equilibrium selection succeeds in small …, tightly connected structures but also in very centralized networks. It fails, in contrast, in loosely connected local …

We consider a model of network interactions where the outcome of a unit depends on the outcomes of the connected units …. We determine the key network link, i.e., the network link whose removal results in the largest reduction in the aggregate … outcomes, and provide a measure that quantifies the contribution of a network link to the aggregate outcomes, which complements …