id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-225177-f7i0sbwt	Pastor-Escuredo, David	Characterizing information leaders in Twitter during COVID-19 crisis	2020-05-14		.txt	text/plain	2436	149	50	Infodemics are frequent specially in social networks that are distributed systems of information generation and spreading. However, in social media, besides content, people's individual behavior and network properties, dynamics and topology are other relevant factors that determine the spread of information through the network [21] [22] [23] . Centrality metrics are used to identify relevant nodes that are further characterized in terms of users' parameters managed by Twitter [25] [26] [27] [28] [29] . The current flow betweenness shows an unconnected graph which is very interesting as decentralized nodes play a key role in transporting information through the network (see Fig. 6 ). The current flow closeness shows also an unconnected graph which means that the social network is rather homogeneously distributed overall with parallel communities of information that do not necessarily interact with each other (see Fig. 7 ).	./cache/cord-225177-f7i0sbwt.txt	./txt/cord-225177-f7i0sbwt.txt