skewed.de
Academic research group building network reconstruction algorithms and the graph-tool library for researchers of complex systems
Highlights
- New on EvolcAdded 2026-10-28
About skewed.de
Inverse Complexity Lab is a research group that studies inverse problems in complex systems: given an observed large-scale behavior, it infers the interaction mechanisms that produced it. The group develops mathematical and computational models and algorithms that reconstruct model structure from empirical data.
Most of the group's methods are released as part of the open graph-tool library. Its work covers statistically principled pattern identification in complex networks, uncertainty quantification, generative models of modular hierarchies, higher-order relational data and scalable network algorithms, and draws on statistical physics, computational statistics, information theory, Bayesian inference and machine learning.
The group is led by Tiago P. Peixoto, Professor of Complex Systems and Network Science at the Center for Critical Computational Studies, Goethe University Frankfurt. It moved to Frankfurt on 1 April 2026, after previously being based at IT:U in Linz.
Product: graph-tool, an network analysis and reconstruction library, plus published research methods on network reconstruction.
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