Good news everyone! 🎉 The new version 3.0 of graph-tool is just out with major improvements! See below. 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
Inverse Complexity Lab
@invcomplexity.skewed.de
Research group @ Center for Critical Computational Studies (C³S), Goethe University Frankfurt, focusing on inverse problems in network science and complex systems. https://skewed.de/lab Led by Tiago Peixoto (@tiago.skewed.de).
Early Christmas... The @frame.work laptops for our group members @invcomplexity.skewed.de arrived last week!
I’m happy to share that, as of April 1st, I will be taking on a W3 Professorship in Complex Systems and Network Science at the Goethe University Frankfurt @goetheuni.bsky.social.
Want to learn more about our recent work disentangling the conflation between hypergraphs and higher-order interactions? I will be giving a @beyondtheedge.network seminar March 16, 2026 3:00 PM CET. Paper: arxiv.org/abs/2602.16937 Zoom link here: www.beyondtheedge.network/event/semina...
BeyondTheEdge Seminar Tiago Peixoto
Tiago Peixoto in the BeyondTheEdge Seminar Series
beyondtheedge.network
New blog post: "Higher orders need higher standards" skewed.de/lab/posts/hi... I discuss our current work disentangling misconceptions around "higher-order" networks: arxiv.org/abs/2602.16937 Explainer thread for the paper here: bsky.app/profile/tiag...
Higher orders need higher standards – Inverse Complexity Lab
Research group on inverse problems in complex systems and network science.
skewed.de
New on the arxiv: “Graphs are maximally expressive for higher-order interactions” arxiv.org/abs/2602.16937 We clarify central misconceptions in the recent literature on "higher-order networks". w/ @piratepeel.bsky.social , @manlius.bsky.social, and @thilogross.bsky.social Explainer 🧵: 1/N
New on the arxiv: “Graphs are maximally expressive for higher-order interactions” arxiv.org/abs/2602.16937 We clarify central misconceptions in the recent literature on "higher-order networks". w/ @piratepeel.bsky.social , @manlius.bsky.social, and @thilogross.bsky.social Explainer 🧵: 1/N
Graphs are maximally expressive for higher-order interactions
We demonstrate that graph-based models are fully capable of representing higher-order interactions, and have a long history of being used for precisely this purpose. This stands in contrast to a commo...
arxiv.org
I wrote a blog post about the often stated but never explained assumption that communities in graphs should always be connected. This is inconsistent with statistical significance and null models that underlie the most widely employed methods. skewed.de/lab/posts/co...
The perplexing “connected cluster axiom” – Inverse Complexity Lab
Research group on inverse problems in complex systems and network science.
skewed.de
Just out on @royalsocietypublishing.org: "Scalable network reconstruction in subquadratic time" royalsocietypublishing.org/doi/10.1098/... Previous explainer thread here: bsky.app/profile/tiag... Code here: graph-tool.skewed.de/static/docs/...
Scalable network reconstruction in subquadratic time | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Network reconstruction consists in determining the unobserved pairwise couplings between N nodes given only observational data on the resulting behaviour that is conditioned on those couplings—typical...
royalsocietypublishing.org
New paper! “Scalable network reconstruction in subquadratic time” arxiv.org/abs/2401.01404 TL;DR: It's now possible to reconstruct huge networks from observational data using statistical inference. Explainer thread: 1/N
Double feature, just out on @royalsocietypublishing.org: "Uncertainty quantification and posterior sampling for network reconstruction" Previous explainer thread here: bsky.app/profile/tiag... Code here: graph-tool.skewed.de/static/docs/... royalsocietypublishing.org/doi/10.1098/...
Uncertainty quantification and posterior sampling for network reconstruction | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Network reconstruction is the task of inferring the unseen interactions between elements of a system, based only on their behaviour or dynamics. This inverse problem is in general ill-posed and admits...
royalsocietypublishing.org
🚨 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
🎓 Short interview with me by the lovely people at @cams.ehess.fr , where I wrapped up my PhD this summer ✨ In 🇫🇷, with a longer version also available in 🇬🇧: shorturl.at/FjNRA
🔎 Découvrez l’interview de Lena Mangold, jeune docteure de l’EHESS (CAMS), qui vient de débuter un postdoctorat au sein de l’Inverse Complexity Lab (IT:U, Austria) !
Last week we had our second “Inverse Complexity Lab Retreat” at wonderful Traunkirchen! skewed.de/lab/group.ht... Nothing like eldritch C++ incantations by the sunny lakeside! 🏖️
Attending @ic2s2.bsky.social? Checkout the poster presented by @thomrobiglio.bsky.social! #ic2s2
New preprint: “Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides”, with @thomrobiglio.bsky.social, Martina Contisciani, @martonkarsai.bsky.social, arxiv.org/abs/2507.11503
New preprint: “Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides”, with @thomrobiglio.bsky.social, Martina Contisciani, @martonkarsai.bsky.social, arxiv.org/abs/2507.11503
Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides
Migration is central in various societal problems related to socioeconomic development. While much of the existing research has focused on international migration, migration patterns within a single c...
arxiv.org
Are you from the US and would like to work as a postdoc in Austria, maybe in our lab? 25 new fellowships will be available in July from the @oeaw.bsky.social: www.oeaw.ac.at/en/news/25-n... If you are interested; get in touch!
25 new scholarships for US researchers
Fonds Zukunft Österreich (FZÖ) is providing €10 million in funding for an academy program to bring postdocs from the USA to Austria ++ Faßmann: “The right signal in these turbulent times”
oeaw.ac.at
Are you from the US and would like to work as a postdoc in Austria, maybe in our lab? 25 new fellowships will be available in July from the @oeaw.bsky.social: www.oeaw.ac.at/en/news/25-n... If you are interested; get in touch!
25 new scholarships for US researchers
Fonds Zukunft Österreich (FZÖ) is providing €10 million in funding for an academy program to bring postdocs from the USA to Austria ++ Faßmann: “The right signal in these turbulent times”
oeaw.ac.at
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! 💀🤘
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! 💀🤘
🚨 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! 🎉
Get 2025 started by reducing your compile times! graph-tool.skewed.de
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! 🎉
🚨 Job alert 🚨 IT:U is hiring 5 professors (open rank) in Data Science, very broadly defined! Focuses include (among others): 1. Theoretical Foundations of Data Science 2. Data Science in Biological Systems 3. Data Science in Human Mobility it-u.at/en/careers/p... 1/2
Professor of Data Science | IT:U
it-u.at
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
🚨Job alert!🚨 Come join us at the Inverse Complexity Lab @invcomplexity.skewed.de We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria. skewed.de/lab/call.html Deadline is 30 Nov 2024. (Next Saturday!) Spread the word. #networkscience #complexsystems
Open post-doc position at the Inverse Complexity Lab – Tiago P. Peixoto
Inverse Complexity Lab
skewed.de
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!
Great postdoc opportunity to wrok with @skewed.de at the Inverse Complexity Lab (@invcomplexity.bsky.social) at the new university IT:U in Linz. #Complexity 🧪
🚨Job alert!🚨 Come join us at the Inverse Complexity Lab! @invcomplexity.bsky.social We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria. skewed.de/lab/call.html Deadline is 30 Nov 2024. 1/8
🚨Job alert!🚨 Come join us at the Inverse Complexity Lab! @invcomplexity.bsky.social We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria. skewed.de/lab/call.html Deadline is 30 Nov 2024. 1/8