Polytechnic University of Valencia Congress, CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics

Font Size: 
Identification of Influencers in eWord-of-Mouth communities using their Online Participation Features
Maria Olmedilla, Francisco José Arenas-Márquez, M. Rocio Martinez-Torres, Sergio L. Toral

Last modified: 27-06-2016


The identification of influencers in any type of online social network is of
paramount importance, as they can significantly affect consumers’
purchasing decisions. This paper proposes the utilization of a self-designed
web scraper to extract meaningful information for the identification of
influencers and the analysis of how this new set of variables can be used to
predict them. The experimental results from the Ciao UK website will be used
to illustrate the proposed approach and to provide new insights in the
identification of influencers. Obtained results show the importance of the
trust network, but considering the intensity and the quality of both trustors
and trustees.

Full Text: PDF