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:research groups

Complex Systems and Network Science

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Sebastian Kusch

PhD Student

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Sebastian Kusch

I’m a PhD Candidate in the Inverse Complexity Lab, specializing in Complex Systems and Network Science with a background in mathematical modeling and computational science. I hold a B.Sc. in Simulation Technology and a M.Sc. in Environmental Modelling (University Stuttgart/Oldenburg).

My research focuses on emergent complex systems described by multiple mechanisms, aiming to develop mathematical frameworks to distinguish between their causal effects on observed structural patterns using methods from Network Science, Complex Systems, Bayesian Statistics and Algorithmic Information Theory.

Projects

graph-tool

A comprehensive Python network library, including structural, dynamical and statistical algorithms, as well as visualization. Free and Open Source, released under the LGPLv3 license, fully documented, with high-performance algorithms written in C++, using template metaprogramming and OpenMP parallelism.  Available at: https://graph- tool.skewed.de

Netzschleuder

Online catalogue and repository of over 160K network datasets with the aim of aiding scientific research. The website is meant to be browsed both by humans and machines alike, and can also be accessed via a convenient JSON API, or via the graph-tool library. The network datasets themselves are available in several machine-readable formats, in particular gt, GraphML, GML and CSV.  Available at: https://networks.skewed.de

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