from observing the actions of peers. When the social belief is strong and the financial network is fragmented, banks follow … endogenously formed interbank networks, however, less informative signals lead to higher network density and less synchronization …

theoretical findings, we estimate an empirical network from industry cash flows and find support for these predictions. …

that can best be characterized as a shrinking of the interbank network. Such a change in the network structure is … consequential: banks with higher centrality within the network have better access to liquidity and are able to charge larger …

analyzes a learning model with endogenous network formation in which people have different types and live in different regions … beliefs. Finally, I propose a simple way to model people who neglect a potential correlation of signals and show that these …

are bilinear, the matrices of these bilinear forms represent the network, and strategies have norm at most one. Another … utilitity functions, where the matrices representing the network have dimension m × n. For connected directed bipartite networks …

An undirected connected bimodal network has two Bonacich measures quantifying the centrality of the nodes. We show that … the product of Bonacich measures of an undirected bimodal network may be viewed as a product measure that is nearest (w ….r.t. Euclidean norm) to the matrix representing the network. A directed bimodal network has four Bonacich measures, two inflow and …

structures of a network. One of the methods is based on identifying a node subset that maximizes the average degree within this … cluster, and so on recursively. The method produces an ordered partition of the node set of the original network. We give a …