Raising a glass to @tiago.skewed.de ‘s amazing @graph-tool.skewed.de which just allowed us to extract all of India’s OSM road network’s ~260 million edges into a smashing largest connected component of ~130 million edges. C++ and graph-tool. Hope we can publish and cite our global analysis soon!🙏🙏🙏🙏
A couple of weeks ago we had our first “Complexity Lab Retreat” at great location in Traunkirchen!
skewed.de/lab/group.ht...
We had the opportunity to flex our methodological muscles and learn the dark secrets of the C++ internals of @graph-tool.skewed.de! 💀🤘
As usual, our algorithms are freely available as part of the @graph-tool.skewed.de library, with documentation: graph-tool.skewed.de/static/doc/d...
Enjoy! N/N
🚨 New paper on ArXiv:
“Uncertainty quantification and posterior sampling for network reconstruction”
TL;DR; We present an efficient method to sample the entire ensemble of possible network reconstructions that are compatible with an indirect observation, e.g. a dynamics.
Short thread: 1/N
Good news for Arch GNU/Linux users! Graph-tool is now available in the main repository! To install it, just do:
pacman -S python-graph-tool
The days of compiling graph-tool from AUR are over!
Rejoice! 🎉
Good news everyone! A new version of graph-tool is just out! @graph-tool.skewed.de
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
Did you know that you install @graph-tool.skewed.de via @condaproject.bsky.social, it will install binaries that are
optimized for your specific CPU micro-architecture, including SIMD vectorization, in addition to having OpenMP enabled?
It's awesome! Try it out today!