id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-007404-s2qnhswe	Shu, Panpan	Numerical identification of epidemic thresholds for susceptible-infected-recovered model on finite-size networks	2015-06-04		.txt	text/plain	4288	238	54	The existing studies have provided different theoretical predictions for epidemic threshold of the susceptible-infected-recovered (SIR) model on complex networks, while the numerical verification of these theoretical predictions is still lacking. To understand the effectiveness of the variability measure, the distribution of outbreaks sizes is investigated near the epidemic threshold on random regular networks. Considering that the existing theories more or less have some limitations (e.g., the HMF theory neglects the quenched structure of the network; QMF theory ignores dynamical correlations 14 ) , some numerical methods such as the finite-size scaling analysis, 15 susceptibility, 16 and lifetime measure 17 have been proposed to check the accuracies of different theoretical predictions for the SIS model. In this work, we perform extensive numerical simulations of the SIR model on networks with finite size, and present a numerical identification method by analyzing the peak of the epidemic variability 24,25 (i.e., the maximal value of the epidemic variability) to identify the epidemic threshold.	./cache/cord-007404-s2qnhswe.txt	./txt/cord-007404-s2qnhswe.txt