id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_incs6r2ovzfh7ajrv56v5dou4i	Ian Kim	COVID-19 Health Communication Networks on Twitter: Identifying Sources, Disseminators, and Brokers	2020	14	.pdf	application/pdf	8214	1429	68	COVID-19 Health Communication Networks on Twitter: non-professional users responsible for major COVID-19 information COVID, Information diffusion, Health communication, Social network information sharing and network structures reflect of COVID-19 Twitter users by comparing the professional categorizations by their roles as sources, information for both retweet and mention networks (c) influential user identification in the retweet and mention networks. (c) influential user identification in the retweet and mention networks. number of influential users in a given network, top users, whereas the mention network had 758,313 ties the information flow is unidirectional: retweet network, In the mention network, the in-degree of the identified information sources was between 749 and 11,608 (N=100, Information disseminators, as in the retweet network, overall network structure and information flow. users in the retweet and mention networks may users in the retweet and mention networks may the mention network was not, users tended to retweet "Identifying influential users in Twitter networks 	./cache/work_incs6r2ovzfh7ajrv56v5dou4i.pdf	./txt/work_incs6r2ovzfh7ajrv56v5dou4i.txt