Network topology plays a key role in many phenomena, from the spreading of diseases to that of financial crises …. Whenever the whole structure of a network is unknown, one must resort to reconstruction methods that identify the least biased … computationally hard and bias-prone procedure. Here we solve this problem by introducing an analytical and unbiased maximum-entropy …

of an empirical network from economically meaningful benchmarks or reconstruct the most likely structure of an economic … network when the latter is unknown. However, several studies have proved that real economic networks are topologically very … extensive and intensive bias, defined as a measurable tendency of the network to prefer either the formation of new links or the …

unknown, and maximum entropy serves as the leading method for estimating unobserved counterparty exposures. This paper … entropy and also permits more robust analysis. Using the two benchmarks side by side helps identify a range of possible …

The recent literature on firm-to-firm trade has documented salient empirical regularities of the buyer-seller network …

entropy of a randomized ensemble of networks restricted only by the lower-order features of the observed network. We find that … structural correlations vary across different versions of the network. Moreover, we employ different configuration models and … examine whether higher-level characteristics of the observed network can be statistically reconstructed by maximizing the …