id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-349898-nvi8h77t	Dinh, Ly	COVID‐19 pandemic and information diffusion analysis on Twitter	2020-10-22		.txt	text/plain	4774	235	55	Specifically, we compare COVID-19 virus's (a) SIR -modeled and (b) empirically observed diffusion patterns with (c) information cascades of retweeting, quote tweeting, and replying behaviors on Twitter social network to understand the relationships between information and virus diffusion. The first two networks are created to capture the diffusion of the COVID-19 virus in the entire population, via an SIR simulated model (SIRsim) and an observed model based on reported data about infected (I), and removed (R) cases (SIRemp). The third network is constructed from information cascades on Twitter (we call this INFOcas), where infected (I) are tweets that interacted with the original tweets about COVID-19 by either retweeting, quoting, or replying, and removed (R) include tweets that are no longer interacted with for a defined period.	./cache/cord-349898-nvi8h77t.txt	./txt/cord-349898-nvi8h77t.txt