analyzes a learning model with endogenous network formation in which people have different types and live in different regions …

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

realistic interbank networks that preserve important characteristics of the original interbank market. The method loads the most … probable links with the largest exposures consistent with the total lending and borrowing of each bank, leading to networks …

utilitity functions, where the matrices representing the network have dimension m × n. For connected directed bipartite networks …We investigate the cases when the Bonacich measures of strongly connected directed bipartite networks can be … are bilinear, the matrices of these bilinear forms represent the network, and strategies have norm at most one. Another …

We present a model for the dynamics of networks in which edges represent positions in organizations, holders of which … can be hired from the current network. In particular, it is possible that the further away a candidate is in the network … foundations of the search process are presented. An empirical application to a board interlock network demonstrates that the model …