This paper presents a new version of one of the models that we have proposed to measure the influence of web users in social networks like Facebook. The new version enhanced the previous one through the incorporation of two substantial modules, namely the global impression that the postings of the potential influencer get from his followers and the entropy which manifests the quantity of information carried by those postings. The comparison of our model with the precedent version and the PageRank benchmark has shown the effectiveness of our updates and the importance of incorporating the entropy and the global impression factors in its formulation.
Citation
Hemza Loucif ,
Samir Akhrouf ,
,(2021), A Recursive Model to Measure Influence in Subscription Networks: A Case Study using Twitter.,International Conference on “Managing Business through Web Analytics" ICMBWA2020,,Université Djilali Bounaama – Khemis Miliana,
