Ixandra Achitouv
Chercheur associé
Research interests
My research interests lie in complex systems and statistical physics, with a focus on how collective dynamics emerge from large-scale data. In particular, my recent work explores opinion formation and political influence in online and social-media networks, using diffusion models, network analysis, and causal methods to study how information spreads and shapes behavior.
I am also interested in developing and testing network-based methodologies and LLMs to improve the analysis of complex relational data. More broadly, my work connects theoretical tools from statistical physics with data-driven approaches to understand and forecast dynamics of complex systems.
Latest Publications
D-MODD: A Diffusion Model of Opinion Dynamics Derived from Online Data
I Achitouv, D Chavalarias
arXiv preprint arXiv:2601.16226
Testing network clustering algorithms with natural language processing
I Achitouv, D Chavalarias, B Gaume
Frontiers in Artificial Intelligence 8, 1635436
Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
I Achitouv, D Chavalarias
Front. Polit. Sci., 13 October 2025 Sec. Elections and Representation 7
Dynamical analysis of financial stocks network: Improving forecasting using network properties
I Achitouv
PloS one 20 (5), e0319985
I am also interested in developing and testing network-based methodologies and LLMs to improve the analysis of complex relational data. More broadly, my work connects theoretical tools from statistical physics with data-driven approaches to understand and forecast dynamics of complex systems.
CONTACT
ixandra.achitouv@cnrs.fr
ORGANISME
LIP6
Sorbonne Université.
Ancienne post-doctorante sur le projet NODES
