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 …