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 [email protected]

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.

types of network science papers

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... 🧪🦋

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!

Nowadays, saying your lab is not doing AI (for something, or applied to something) is a revolutionary act. #ComplexSystems

Starting the SINM satellite at @netsciconf.bsky.social with an exciting talk by Daichi Kuroda!

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)

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 2025 Euler Award in Network Science goes to Ginestra Bianconi! @gin-bianconi.bsky.social 👏

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

Probabilistic alignment of multiple networks www.nature.com/articles/s41...

Finally, the preprint+Python package "neatnet" is out: https://arxiv.org/abs/2504.16198 https://github.com/uscuni/neatnet If you are working with street/planar/spatial networks, this will solve *so* many problems! Many of my projects had this bottleneck - […] [Original post on datasci.social]

I've been guest editing a focus issue for Journal of Physics: Complexity with @jgyou.bsky.social, @gcant.bsky.social, and Cate De Bacco on Statistical Inference and Machine Learning for Complex Networks. See iopscience.iop.org/collections/..., and feel free to get in touch with any questions!

Finished reviewing my pile of papers for a premier data mining CS conference today and then read their other reviews. Wow. They are utter garbage: largely superficial, thoughtless, and vague. We should be ashamed to call this #peerreview and inflict this misery on each other and on our trainees 1/2

🎉 Congrats to Federico Battiston! Federico, Associate Professor at CEU DNDS & Director of the PhD Program, has won the 2025 Young Scientist Award in Socio- & Econophysics from the German Physical Society! 🏆 Watch the video: youtu.be/cfv0z7m7mus?...

Happy that this just came out on PRX: “Network Reconstruction via the Minimum Description Length Principle” journals.aps.org/prx/abstract... 1/3

Every one of Tiago’s papers is a masterpiece. Give it a read if you work with networks constructed from different types of observations!

We are glad to present 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐚𝐧𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐂𝐎𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐚𝐧𝐝 𝐑𝐄𝐬𝐨𝐮𝐫𝐜𝐞𝐬 (𝐂𝐎𝐑𝐄) 🎉 complexity-core.github.io 𝐂𝐎𝐑𝐄 is a newly-created umbrella organization that aims to gather resources and initiatives directed to the Complexity and Network Science community.

Last day!

Deadline for the SINM workshop at NetSci 2025 is approaching. Only 2 more days to submit! Please feel free to reach out with any questions and see sinm.network for details.

Very important step in the right direction! PCI Network Science is an initiative aligned with these goals networksci.peercommunityin.org/about/about . Consider for your next submission!

The Complex Systems Society Manifesto About the Publishing and Evaluation Systems cssociety.org/about

Missed the NetSci deadline? No problem! Submit your work to the SINM Satellite at NetSci 2025! We have an amazing lineup of speakers so far, including Michael Schaub, Vince Lyzinski, and @gcant.bsky.social. Revised deadline is Feb 20. See sinm.network for details.

🚨Happy to announce that EpiMob is back for a 4th edition @netsciconf.bsky.social 🙌 🏃‍♂️🦠Interested in behavioral data and public health? Join us in Maastricht in June 2025 🦠🏃‍♀️ The call for abstracts is open! Deadline is February 15 👉 epimob.weebly.com/call-for-abs...

Announcing the "Software and Data for Supporting Network Science" satellite workshop at NetSci 2025!! Apply at netsci.nascol.net/cfa before Feb. 7th! Organized with @zpneal.bsky.social, @vtraag.bsky.social, @foucaultwelles.bsky.social, and @illegaldaydream.bsky.social!

Another year, another edition!💥 Join #TopoNets25 at @netsciconf.bsky.social in Maastricht and send us your work on higher-order networks: structure, dynamics, methods, inference, software, topology, #TDA, etc. 📅 Submit by Feb 7th to give a contributed talk: sites.google.com/view/toponet...

mark is a hero -- extremely kind, unpretentious individual too.

**Deadline change!** The abstract submission deadline for SINM has been changed to **February 20th** to give more time for decisions prior to the early-bird registration deadline. Looking forward to seeing your submissions!

Calls are open for the Statistical Inference for Network Models (SINM) satellite at NetSci 2025 @netsciconf.bsky.social ! The deadline is Feb 24, and all we need is a one-page abstract. Please see sinm.network for details and feel free to reach out if you have any questions!

Bumping this once more. One of the benefits of IT:U is the very generous in-house base funding, consisting of recurrent positions for post-docs and PhDs, not just as a part of a startup package. Get in touch if you want to know more details.

We're hiring a postdoc in the &-Lab at Northeastern's Network Science Institute! Looking for a curious, collaborative scholar to work on computational social science questions, at the intersection of data justice + network science. northeastern.wd1.myworkdayjobs.com/careers/job/...

🚨 Just in time, 🎅! #NetSky #Complexity🧪 We compare human mobility datasets from 7 data-sources, tracing 500M+ ppl in 145 countries, to test that if statistical properties observed are robust regardless of data gathering & processing techniques. Guess what? 👇👇👇 www.nature.com/articles/s42... 1/

🚨I'm looking for PhD students to join my team in the Connected Data Hub School of Data Science at the University of Virginia We develop cutting-edge methods in network science and data analytics to reveal how networks shape the world and drive collaboration, innovation, and national security.

New blog post: “Untangling the hairball using statistical inference” skewed.de/tiago/posts/...

Phys. Rev. E: Mutual information and the encoding of contingency tables http://link.aps.org/doi/10.1103/PhysRevE.110.064306

Some decisions are best made quickly and locally. Governance can work better as a higher-order network, not a pyramid around a central state. How should we design these networks? We looked at this with law and complexity scholars and found "effective governance" networks. arxiv.org/abs/2412.03421

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

Last chance! Deadline tomorrow!

Excited to announce PANINIpy, a package for nonparametric inference with networks in Python! We go beyond community detection and network reconstruction to "MDL-ify" a range of unsupervised learning problems on graph data. Actively seeking contributions to new modules! joss.theoj.org/papers/10.21...