PhD graduated
Team : NPA
Departure date : 03/22/2023

Supervision : Anastasios GIOVANIDIS

Co-supervision : Naceur MALOUCH

Stochastic modeling and data analysis for information dissemination in online social platforms

Influencer marketing has become a thriving industry with a global market value expected to reach 15 billion dollars by 2022. The advertising problem that such agencies face is the following: given a monetary budget find a set of appropriate influencers that can create and publish posts of various types (e.g. text, image, video) for the promotion of a target product. The campaign's objective is to maximize across one or multiple online social platforms some impact metric of interest, e.g. number of impressions, sales (ROI), or audience reach. In this thesis, we create original continuous formulations of the budgeted influence marketing problem by two frameworks, a static and a dynamic one, based on the advertiser's knowledge, and the nature of the advertiser's decisions over a time horizon.

Defence : 03/22/2023

Jury members :

De Pellegrini Francesco, Laboratoire d'Informatique d'Avignon [Rapporteur]
Coupechoux Marceau, Laboratoire Traitement et Communication de l'Information (LTCI)-Telecom Paris [Rapporteur]
Hayel Yezekael, Laboratoire d'Informatique d'Avignon
Nguyen Thi-mai-trang, Laboratoire de Traitement et Transport de l'Information-Univ. Sorbonne Paris Nord
Lasaulce Samson, Centre de Recherche en Automatique de Nancy-CNRS
Giovanidis Anastasios, Sorbonne Université-CNRS, Directeur de thèse
Malouch Naceur, Sorbonne Université-CNRS

Departure date : 03/22/2023

2021-2023 Publications