Influence parameters correlation in a Twitter event network
by Cristian Bisconti; Angelo Corallo; Laura Fortunato; Alessandra Spennato
International Journal of Entrepreneurship and Small Business (IJESB), Vol. 37, No. 4, 2019

Abstract: Influence measures, like social network analysis (SNA) metrics, Twitter social parameters, sentiment score and influence maximisation, are used in the literature in order to provide a characterisation of the user role and the content of messages inside a social media communication network. Using a Twitter network related to the international event EXPO2015, crawled from the event's page, the paper measures the correlation between different influence measurements. The aim is to obtain an influence indicator framework able to interpret different user behaviour through the evaluation of user popularity, participation, influence and polarity of texts.

Online publication date: Thu, 22-Aug-2019

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