We study from both a theoretical and an empirical perspective how a network of military alliances and enmities affects … the intensity of a conflict. The model combines elements from network theory and from the politico-economic theory of … characterization of the Nash equilibrium of the fighting game, and of how the network structure affects individual and total fighting …

network formation. While the physics/applied mathematics approach is capable of reproducing most observed networks, it does … does a poor job in matching real-world networks. We also analyze behaviors on networks, which take networks as given and …

We consider a network game with strategic complementarities where the individual reward or the strength of interactions … disentangling the information effects from the network effects and show that the equilibrium effort of each agent is a weighted … the weights are its eigenvectors. We then study the impact of incomplete information on a network policy which aim is to …

targeting a set of network nodes that are optimally positioned to quickly diffuse information, attitudes, behaviors or goods. We … targeting the most active agents in a network. …

network in firm performance. We develop a simple model where firms can outsource tasks and search for suppliers in different …

The centrality of an agent in a network has been shown to be crucial in explaining different behaviors and outcomes. In … measure for a given network to its properties for a reduced problem. In our case, the reduced problem only keeps track of …

We develop a dynamic network formation model that can explain the observed nestedness in real-world networks. Links are … identify the networks to which the network formation process converges and find that they are nested split graphs. We … by real-world networks. Using four different network datasets, we empirically test our model and show that it fits well …

who are most central in a network according to "diffusion centrality", which nests other standard centrality measures … diffusion central (not just those with many friends). Moreover, these nominees are more central in the network than traditional …