New in Science Advances: Helcio Felippe, Alec Kirkley & Federico Battiston introduce an information-theoretic framework for comparing hypergraphs. The article went live the day Helcio presented it at NetSci 2026 in Boston. www.science.org/doi/full/10....
Francesco Lotito
@fralotito.bsky.social
Postdoctoral Researcher at the Central European University. Interested in panzerotti and complex networks.
Hypergraphx-data now published open access in the 𝘑𝘰𝘶𝘳𝘯𝘢𝘭 𝘰𝘧 𝘊𝘰𝘮𝘱𝘭𝘦𝘹 𝘕𝘦𝘵𝘸𝘰𝘳𝘬𝘴. Co-authored by Quintino Francesco Lotito, Lorenzo Betti, Berné Nortier, Alberto Montresor & Federico Battiston, the repository offers 100+ real-world datasets for higher-order network analysis. doi.org/10.1093/comn...
Hypergraphx-data is now available in the Journal of Complex Networks: academic.oup.com/comnet/artic...
Hypergraphx-data: a repository for higher-order network data
Abstract. The availability of network datasets advances research in network science, machine learning and related fields by enabling empirical analyses and
academic.oup.com
📎 Today, we are releasing Hypergraphx-data: hgx-team.github.io/hypergraphx-... Hypergraphx-data offers more than 100 real-world datasets to explore higher-order interactions across domains such as social networks, biology, and finance, and supports directed, temporal, and multiplex hypergraphs.
📎 Today, we are releasing Hypergraphx-data: hgx-team.github.io/hypergraphx-... Hypergraphx-data offers more than 100 real-world datasets to explore higher-order interactions across domains such as social networks, biology, and finance, and supports directed, temporal, and multiplex hypergraphs.
Which coupling functions should you use in your higher-order Kuramoto model? Symmetries will tell you! "Symmetry-based selection rules for higher-order interactions in coupled oscillators" preprint now out. Preprint: arxiv.org/abs/2606.04904 Code: tiny.cc/60l4101 w/ I. Léon, R. Muolo, Y. Zhang 🧵1/
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
Interested in network science, evolutionary biology, and animal behavior? I am seeking a PhD student to join the Quantitative Network Science group at the Department of Mathematical Modeling and Machine Learning of the University of Zurich. Info and application here: jobs.uzh.ch/job-vacancie...
UZH: PhD in Network Science: Modeling of Animal Networks
We are seeking a highly motivated PhD student to join our Quantitative Network Science research group at the Department of Mathematical Modeling and Machine Learning at the University of Zurich. Wild ...
jobs.uzh.ch
📎 Today, we are releasing Hypergraphx-data: hgx-team.github.io/hypergraphx-... Hypergraphx-data offers more than 100 real-world datasets to explore higher-order interactions across domains such as social networks, biology, and finance, and supports directed, temporal, and multiplex hypergraphs.
The JMLR LaTeX template enforces the use of {algorithm2e} to typeset algorithms, package I am not familiar with—my weapon of choice is {algorithmicx}—yet I'm starting to see the appeal. {algorithm2e} does provide you with more flexibility! For instance, the flexibility to wish you'd never been born
🌱 Out in Communications Physics: “The microscale organization of directed hypergraphs” ➡️ What can we learn from the directionality of group interactions in real-world systems? 📄 Paper: www.nature.com/articles/s42... ⚙️ Tools: github.com/HGX-Team/hyp... w/ Vendramini, Montresor, @fede7j.bsky.social
When can higher-order networks be simplified without losing what matters? New papers in @physrevlett.bsky.social and @natcomms.nature.com by Federico Battiston & collaborators introduce structural and dynamical reducibility frameworks for higher-order networks. 🔗 bit.ly/4sNwfUN 🔗 bit.ly/4sPYCBM
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/
If you know people in Theoretical CS or adjacent who just joined BlueSky (or just did yourself), please tag them or say hi in this thread! #TCSSky (I'll follow them/you, let's strengthen our research community here)
🎶One more “song”? Come see our poster next week at #AAAI2026 on our paper: 📣 “Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints” With @marcoguerini.bsky.social Bruno Lepri @gglavas.bsky.social @satonelli.bsky.social 🧵 arxiv.org/abs/2502.13592
Our new paper on searching the space of hypergraphs to solve constrained combinatorial optimization problem is out. This was joint work with Guilherme Ferraz de Arruda, Wan He, Nasimeh Heydaribeni, Tara Javidi, and Yamir Moreno. communities.springernature.com/posts/buildi...
Building More Resilient Teams: A Mathematical Approach Using Hypergraphs
When organizations need to assign people to projects, they face a fundamental challenge: how can they form teams that continue to function if someone becomes sick, leaves the company, or is otherwise ...
communities.springernature.com
In a brief 𝘕𝘢𝘵𝘶𝘳𝘦 𝘊𝘰𝘮𝘱𝘶𝘵𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 piece, E. Valdano and I discuss recent progress in automated scientific discovery of governing laws for complex networked systems, where neural symbolic regression can extract interpretable laws from high-dimensional dynamics. www.nature.com/articles/s43...
Discovering the laws behind complex networked systems - Nature Computational Science
A recent study shows that neural symbolic regression offers a route to automated discovery of governing equations for network dynamics across high-dimensional complex systems.
nature.com
🚨🚨 New paper out! With @colltoaction.bsky.social, @fralotito.bsky.social, and a bunch of offline co-authors 🙂 we published "HIF: The hypergraph interchange format for higher-order networks" doi.org/10.1017/nws....
HIF: The hypergraph interchange format for higher-order networks | Network Science | Cambridge Core
HIF: The hypergraph interchange format for higher-order networks - Volume 13
doi.org
We’re excited to announce the line-up for our fall seminar series! We have three awesome speakers who will share their research and perspectives on the craft of science.
🚨🚨 New preprint just dropped! In collaboration with @colltoaction.bsky.social, Cliff Joslyn, @fralotito.bsky.social, Audun Myers, Joshua Pickard, Brenda Praggastis, and Przemysław Szufel, we define a new data sharing standard for higher-order networks. arxiv.org/abs/2507.11520
📢📢📢 Thrilled to share our new paper "Drivers of cooperation in social dilemmas on higher-order networks", out now in J. R. Soc. Interface! 🚀 With Andrea Civilini, Vito Latora & @fede7j.bsky.social 🔗 royalsocietypublishing.org/doi/10.1098/... @dnds_ceu @ceu 1/7
Drivers of cooperation in social dilemmas on higher‐order networks | Journal of The Royal Society Interface
Understanding cooperation in social dilemmas requires models that capture the complexity of real-world interactions. While network frameworks have provided valuable insights to model the evolution of ...
royalsocietypublishing.org
🚀 Our last paper on leadership dynamics in open-source software teams has been featured in the Editor's highlights at @natcomms.nature.com www.nature.com/collections/...
Applied physics and mathematics
The highlights include but are not limited to the research areas of electronics, optoelectronics, computing technologies and theories, soft matter physics, ...
nature.com
Average day in AI discourse: - The big tech paper saying LLMs are harmless toys, - The influencer claiming LLMs are an existential threat.
The lovely Netplace people and their wonderful energy and ideas created some great opportunities for connections and engagement. It was really nice to work with them!
#NetSci2025 closing ceremony NetPlace announcements
Have you heard about CORE? If you're looking for a community where you can networking + having a (weekly updated) curated list of events (conferences, workshops, job opportunities, etc.), then this is for you! Follow us at @complexity-core.bsky.social #NetSci2025 @netsciconf.bsky.social