id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-134926-dk28wutc	Dasgupta, Anirban	Scalable Estimation of Epidemic Thresholds via Node Sampling	2020-07-28		.txt	text/plain	6056	436	63	In this paper, we address these gaps by developing a novel sampling-based method to estimate the epidemic threshold under the widely used Chung-Lu model (Aiello et al., 2000) , also known as the configuration model. Furthermore, eigenvalue algorithms typically require the full matrix to be stored in the random-access memory of the computer, which can be infeasible for massive social contact networks which are too large to be stored. However, in the context of epidemic thresholds, we are interested in the random variable λ(A) itself, as we want to study the contagion spread conditional on a given social contact network. In this work, we investigated the problem of computing SIR epidemic thresholds of social contact networks from the perspective of statistical inference. We would like to state that in this work, the question of epidemic threshold estimation has been formalized from a theoretical viewpoint in a much used, but simple, random graph model.	./cache/cord-134926-dk28wutc.txt	./txt/cord-134926-dk28wutc.txt