BOTHOREL Cécile

Cécile Bothorel works on complex network analysis and graph mining, in particular on community detection, but also on the search for interaction patterns, the detection of anomalies in linkstreams and, more generally, the study of community dynamics.

She defended her HdR in July 2023.

One of her interest is to help practitioners in Social Science use clustering algorithms. She studied for example the impact of social interactions in the success of crowdfunding projects, the detection of echo chambers in online media (with management science ANR PIL 2018-2021), the dynamics of roles in communities of learners (TSN CARNOT X-AI-EDU 2019-2020). She is currently involved in the PEPR eNSEMBLE Project (2023-2030) dedicated to large collaboration platforms and study the temporal and structural organization of sustainable teams, but also how decison markers can design their own algorithm of graph partitioning (TSN CARNOT PaRéseu 2024).