Thomas Robiglio

I am a physicist interested in studying complex systems using tools from statistical physics and network science. Before my PhD, I earned a BSc in Physics from the University of Torino and a joint MSc in Physics of Complex Systems from Politecnico di Torino, SISSA, ICTP (Italy), and Sorbonne Université (France).

My primary research focus is on applying inferential methods to analyze migration networks in Austria. Additionally, I study dynamical processes on networks and maintain two open-source Python libraries.

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

Complex Systems and Network Science

Thomas Robiglio

Share:

Thomas Robiglio

Projects

graph-tool

Netzschleuder

Share: