Alec Kirkley
@captainkirk1041.bsky.social
Assistant Professor at the University of Hong Kong. Interested in statistical physics, networks, complex systems, and cities. Webpage: https://aleckirkley.netlify.app/
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
The 2026 Erdos-Renyi prize goes to Laurent Hebert-Dufresne!! #NetSci2026 @netscisociety.bsky.social @netsciconf.bsky.social
Information theory for hypergraph similarity | Science Advances www.science.org/doi/10.1126/...
Information theory for hypergraph similarity
Information theoretic principles are used to derive a hierarchy of hypergraph similarity measures.
science.org
Another university getting rid of things you could only ever do at a university and replacing them with stuff a 13-year-old can do on a phone
As we approach @netsciconf.bsky.social , we are announcing our keynotes for the FRIENDS satellite! Among them is Ruisheng Wang from Harvard Medical School! We are also accepting abstract submissions until *this Thursday*! signet-friends.github.io See you in Boston! @signet-friends.bsky.social
As we approach @netsciconf.bsky.social , we are announcing our keynotes for the FRIENDS satellite! Among them is Alec Kirkley from the University of Hong Kong! We are also accepting abstract submissions until *this Thursday*! signet-friends.github.io See you in Boston! @signet-friends.bsky.social
8 more days to submit! We have a great lineup of invited talks including @alicepatania.bsky.social, Yinqiu He, and Mark Newman. See sinm.network for more details!
Alec Kirkley@captainkirk1041.bsky.social · 6mo agoInterested in giving a talk at @netsciconf.bsky.social but missed the main conference deadline? Submit your work to the Statistical Inference for Network Models (SINM) satellite! Send your one page abstract by March 15 and check out sinm.network for more details!
🚨🚨🚨 NetSci Hackathon PSA!!! Are you at NetSci this year? Wanna come a day early and hack on a cool new dataset? Join our hackathon which will take place on May 31. We have limited space, so please indicate your interest through our application form by Mar 13: www.philchodrow.prof/higher-order...
Join the Hackathon! – A Blue Start at Netsci 2026
philchodrow.prof
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
Interested in giving a talk at @netsciconf.bsky.social but missed the main conference deadline? Submit your work to the Statistical Inference for Network Models (SINM) satellite! Send your one page abstract by March 15 and check out sinm.network for more details!
Statistical Inference for Network Models
A NetSci 2026 Satellite Symposium
sinm.network
How complex should network models be? 🚨 In our latest paper we quantify (if and) when higher-order interactions are informative versus reducible to pairwise structure without losing functional signal (e.g., diffusion behavior). 👉 www.nature.com/articles/s41... 1/
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
Tiago Peixoto@tiago.skewed.de · last yr.🚨 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
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
Tiago Peixoto@tiago.skewed.de · 3y agoNew 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
🚀 The University of Rochester is hiring in Complex Systems (Physics)! Join a vibrant cross-disciplinary cluster supported by the Simons Foundation. Great opportunity to build a program at the interface of physics, biology & cognition. Apply ➡️ apply.interfolio.com/173432
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apply.interfolio.com
I believe science is much more like art than many scientists are willing to consider. I have a feeling that it would free us to do better science if we embraced this view. I may be mistaken but that's where I am mentally.
Message passing for epidemiological interventions on networks with loops https://arxiv.org/abs/2509.21596
The Probabilistic Systems, Information, and Inference group at the University of Cambridge is seeking applicants for funded PhD positions. Anyone who wants to study networks/complex systems/statistical physics/inference can email me at gtc31@cam.ac.uk
Phys. Rev. X: Fast Nonparametric Inference of Network Backbones for Weighted Graph Sparsification http://link.aps.org/doi/10.1103/4pg6-mtmt
Excited to see this out! If you need to identify a network backbone but don’t know how to choose the number of edges to keep, here’s a Bayesian solution.
NetScience@netscience.bsky.social · last yr.Fast Nonparametric Inference of Network Backbones for Weighted Graph Sparsification link.aps.org/doi/10.1103/...
Are you a #postdoc in the US looking to next steps? The Austrian Academy of Sciences is opening up 25 fellowships: www.oeaw.ac.at/en/news/25-n... A great reason to use our visitor program at #Complexity #Science Hub @csh.ac.at and see how you would fit in: csh.ac.at/engage/resea... 🧪🦋
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
Nowadays, saying your lab is not doing AI (for something, or applied to something) is a revolutionary act. #ComplexSystems
And the code is live here: github.com/DynamicaLab/... With @allard.bsky.social and the never-online Simon Lizotte (but you can find him at siliz4.github.io)
GitHub - DynamicaLab/bigue: Bayesian inference of the hyperbolic plane embedding of complex networks.
Bayesian inference of the hyperbolic plane embedding of complex networks. - DynamicaLab/bigue
github.com
Sadamori Kojaku@skojaku.bsky.social · last yr.A Bayesian approach to hyperbolic embedding, which can provide "error bars" for vertex angles, radial parameters, inverse temperature. Symmetry-driven embedding of networks in hyperbolic space by Simon Lizotte, Jean-Gabriel Young & Antoine Allard. www.nature.com/articles/s42...
The Network Science Society has a new class of Fellows! Congratulations to the 2025 awardees: Francesco Bullo Guanrong Chen Hawoong Jeong János Kertész Renaud Lambiotte Philippa E. Pattison Mason A. Porter Eckehard Schöll Sara A. Solla
The Erdős-Rényi Prize in Network Science is awarded to Federico Battiston! ⭐
a thing I’ve noticed in my time in research: many people really want to believe that Data™ is some sort of magical object that contains objective truth but the thing is, just like everything else, data is _produced_ via processes and mechanisms that profoundly affect the shape of the data
Kevin Riggle@kevinr.free-dissociation.com · last yr.True story: Sometimes when people talk to me about “synthetic data” i just scream “WHERE DO THE BITS OF INFORMATION COME FROM” at them
