Title: Influence parameters correlation in a Twitter event network

Authors: Cristian Bisconti; Angelo Corallo; Laura Fortunato; Alessandra Spennato

Addresses: Dipartimento di Ingegneria dell'Innovazione, Università del Salento – Lecce, Italy ' Dipartimento di Ingegneria dell'Innovazione, Università del Salento – Lecce, Italy ' Dipartimento di Ingegneria dell'Innovazione, Università del Salento – Lecce, Italy ' Dipartimento di Ingegneria dell'Innovazione, Università del Salento – Lecce, Italy

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.

Keywords: social influence; social network analysis; SNA; sentiment analysis; influence maximisation; Twitter event; influence parameters.

DOI: 10.1504/IJESB.2019.10023240

International Journal of Entrepreneurship and Small Business, 2019 Vol.37 No.4, pp.513 - 529

Received: 08 Mar 2017
Accepted: 04 Aug 2017

Published online: 22 Aug 2019 *

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