Titre : Influence over Networks, a modelling proposal Auteurs : Damien Nouvel, Kévin Deturck, Frédérique Segond, Namrata Patel, Revue : Information Retrieval, Document and Semantic Web Numéro : Issue 1 Volume : 3 Date : 2020/01/20 DOI : 10.21494/ISTE.OP.2020.0465 ISSN : 2516-3280 Résumé : This paper focuses on influencers, defined as individuals succeeding to have an impact on the decision process of other individuals simply through interaction. The success of social networks in the last decade led to an increasing interest for detecting such profiles. In such a context, we present a new influencer model based on the observation of real influence processes. We first define the theoretical frame in which we model the influence process. Then, we describe our empirical approach, based on the observation of influencers in forum discussions, allowing us to characterise each of our model component with linguistic features. Finally, we conclude by presenting, as a perspective, the model implementation with the linguistic feature annotation organised to acquire gold data. Éditeur : ISTE OpenScience