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Erschienen in:
2019 | OriginalPaper | Buchkapitel
A Business Reputation Methodology Using Social Network Analysis
verfasst von : Antonio Galli, Michela Gravina, Vincenzo Moscato, Antonio Picariello, Carlo Sansone, Giancarlo Sperlí
Erschienen in: Pervasive Systems, Algorithms and Networks
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Abstract
Nowadays, every facet of people’s lifestyle is impacted by the continuous use of technologies and in particular the Internet. Social interactions have been radically changed since new technologies have removed communication barriers. The obstacles of time and space have been overcome, letting people from different places and cultures communicate. People tend to become part of a dense social network, where the distribution of information becomes an almost immediate process. This is the reason why companies, public institutions and business activities have opted for social networks as communication medium. As a consequence, people seem to incorporate information gained from the social networks into their decision-making processes.
In this paper we analyze how what is said in the social network could influence people’s decisions. As social network, we consider YELP community, that is a user generated content platform based on ‘word of mouth’, in which users can share their opinions about news, product, community, businesses. We propose a methodology for reviews analysis with the aim to compute business attractiveness, combining user’s sentiment and business reputation.
Our results show that reviews analysis should be performed because it may provide useful information to monitor how business public opinion changes over time.