E-reputation prediction model in online social networks

Автор: Mouna El Marrakchi, Hicham Bensaid, Mostafa Bellafkih

Журнал: International Journal of Intelligent Systems and Applications @ijisa

Статья в выпуске: 11 vol.9, 2017 года.

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E-reputation management has become an important challenge for firms that try to improve their notoriety across the web and more specifically in social media. Indeed, the power of online communities to impact a brand’s image is undeniable and companies need a powerful system to measure their reputation as perceived by connected society. Moreover, they need to follow its variation and forecast its evolution to anticipate any impacting change. For this purpose we have implemented an Intelligent Reputation Measuring System (IRMS) that assesses reputation in online social networks on the basis of members’ activity and popularity. In this paper, we add a predictive module to IRMS that forecasts the evolution of reputation score using influence propagation algorithms.

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E-reputation, reputation score, reputation prediction, reputation systems, trust systems, online Social Networks

Короткий адрес: https://sciup.org/15016432

IDR: 15016432 | DOI: 10.5815/ijisa.2017.11.03

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