assumption that the process starts with every node in the network having a signal. We study a natural extension of the DeGroot … agent. This characterization result then allows us to relate network geometry to information aggregation. We identify an … example of a network structure where essentially only the signal of a single agent is aggregated, which helps us pinpoint a …

In a banking network model, the ranking consistency of various popular systemic risk measures (SRMs) is analyzed. In … with respect to bank and network characteristics can easily be checked. The employed network model accounts, among others … reducing effect of fire sales of other banks. Within the assumed banking network model, it can be shown that, in general, the …

the system, and thus affect the payment chain of a given country. Our objective is to present a network topology … rest of the participants in the SPI. We have applied our network topology tool to detect systemic risk in the SPI during … the period of the SARS-COV-2 pandemic in 2020. We found that the SPI payment network is sensitive to the absence of its …

analysis based on a network equilibrium assignment model. The global logistics intermodal network simulation (GLINS) model … effectiveness of logistics policy and infrastructure development for cross-border transport along the TCTC using a simulation … shipping across the Eurasian continent) is used for policy simulation in the CA. In particular, the simulation incorporates the …

reflects key empirical observations on labor markets. We analyze the impact of network information provided about potential … network information is available. …

Consider a setting where N players, partitioned into K observable types, form a directed network. Agents' preferences … over the form of the network consist of an arbitrary network benefit function (e.g., agents may have preferences over their … network centrality) and a private component which is additively separable in own links. This latter component allows for …