popular empirical network structures such as small world networks and scale-free networks. Thus, the social interaction …

developing a core-periphery model, and devise a procedure for fitting the model to real-world networks. Using Bundesbank data on … provides a promising avenue for understanding the formation of financial networks. …

seems that few scholars have discussed the relationship between social networks and the Boltzmann-Gibbs distribution … popular empirical network structures such as small world networks and scale-free networks. In addition, our simulation results …

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 …

accurately determining the structure of real networks can be difficult and the network averaging technique provides a proxy for … real networks. A second aim is to introduce the adaptive interactive expectations (AIE) model, which uses a ‘pressure to … networks. The AIE model could be readily applied to other forms of expectations and as a replacement for the utility curve …

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, yielding networks with …

popular empirical network structures such as small world networks and scale-free networks. Thus, the social interaction …

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 …