Mathieu Jacomy
Also known as jacomyma
Mathieu Jacomy is a computational social scientist who builds visualization tools for social research and studies how large language models handle knowledge. He worked on the e-Diasporas Atlas program from 2006 to 2010, became a research engineer at Sciences Po's médialab in 2010, and initiated the Gephi network analysis software. In 2009 he coauthored the Gephi demonstration paper with Mathieu Bastian and Sébastien Heymann, and in 2014 he published the ForceAtlas2 layout algorithm with Tommaso Venturini, Heymann and Bastian. After joining the Techno-Anthropological Laboratory in 2018, he published the thesis Situating Visual Network Analysis in 2021, and in 2024 he and Erik Borra published a study of LLM self-consistency. He is an assistant professor at Aalborg University and spent February 2026 at the Paris IAS on a project about visualization for AI-augmented sociology.
- Now at
- Aalborg University
Timeline
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2006–2010
The e-Diasporas Atlas program
He is strongly involved in the e-Diasporas Atlas program with Dana Diminescu from 2006 to 2010.
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2009
The Gephi demonstration paper
In 2009, he coauthors the AAAI demonstration paper "Gephi: An Open Source Software for Exploring and Manipulating Networks" with Mathieu Bastian and Sebastien Heymann. Gephi, which he initiated, uses a 3D render engine to display large networks in real time.
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2010–2018
Research engineer at médialab
He is a research engineer at Sciences Po's médialab in Paris from 2010 to 2018. He leads the web sub-project of the DIME-SHS team, develops digital tools for the social sciences, and works on the web crawler Hyphe.
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2014
The ForceAtlas2 layout algorithm
With Tommaso Venturini, Sébastien Heymann and Mathieu Bastian, he publishes ForceAtlas2 in PLoS ONE in 2014. The paper lays out how Gephi's default layout algorithm works, built on techniques such as the Barnes Hut simulation, degree-dependent repulsive force and adaptive temperatures.
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2018–2021
A PhD on visual network analysis
He joins the Techno-Anthropological Laboratory in 2018 to prepare a PhD thesis. Situating Visual Network Analysis is published in 2021 by Aalborg Universitetsforlag, with Anders Kristian Munk as principal supervisor and Anders Koed Madsen as co-supervisor.
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2024
Testing LLM self-consistency
In 2024, he and Erik Borra publish "Measuring LLM Self-consistency: Unknown Unknowns in Knowing Machines" in the journal Sociologica. Their experiments vary prompts in knowledge retrieval tasks for social sciences and humanities research, and they find that self-consistency tends to align with correct responses and that errors persist.
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February 2026
A fellowship at Paris IAS
He spends February 2026 at the Paris IAS through its Distinguished Fellowship program with PostGenAI@Paris. His project, Visualization for AI Augmented Sociology, develops methods that use large language models and visualization to track how sociotechnical controversies evolve.
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As of October 2026
Assistant professor at Aalborg
He is a computational social scientist and assistant professor at Aalborg University, affiliated with the Department of Culture and Communication, the Techno-Anthropology Lab and MASSHINE. His research covers visual network analysis, AI-assisted visualization, digital controversy mapping and the anthropology of generative AI.
Career
- NowAalborg UniversityAssistant Professor
- 2026Paris Institute for Advanced StudyDistinguished Fellow
- 2010–2018Sciences PoResearch engineer
Education
- 2021Aalborg UniversityPhD
Sources and credits
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- Mathieu Jacomy | médialab Sciences Po
- Gephi: An Open Source Software for Exploring and Manipulating Networks | Proceedings of the International AAAI Conference on Web and Social Media
- ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software - PMC
- Situating Visual Network Analysis - Aalborg University's Research Portal
- Measuring LLM Self-consistency: Unknown Unknowns in Knowing Machines - Aalborg University's Research Portal
- Mathieu Jacomy - Institut d'études avancées de Paris
- SICSS 2026 Bogotá: People