Simple spatial processes can generate heterogeneous contact distributions in face-to-face interactions arxiv.org/abs/2604.00652

Now out our latest paper on adaptive opinion dynamics! 🚨 w/ Cosimo Agostinelli and @alainbarrat.bsky.social arxiv.org/abs/2602.19684 How do group adaptive behaviors influence the emergence of polarization and consensus? How does group adaptation influence the structure of interactions? 1/6 🧵👇

Strategy evolution on temporal hypergraphs www.pnas.org/doi/abs/10.1...

🚨 The deadline for the early bird registration fee is coming up soon (March 1st). Make sure to complete your registration before! More info at: complenet.weeblysite.com/registration

Our work on higher-order dissimilarity measures is now out in Journal of Complex Networks! 📣 academic.oup.com/comnet/artic... with Cosimo Agostinelli and @alainbarrat.bsky.social 1/2

Another new preprint on group adaptation! 📣 Great joint work w/ @martonkarsai.bsky.social and @alainbarrat.bsky.social! Can adaptive behaviors driven by group interactions be more effective and less costly than pairwise ones? How do their adaptive mechanisms differ? arxiv.org/abs/2602.05915 🧵 1/7

New preprint out! 📣 Great collaboration w/ @martonkarsai.bsky.social and @alainbarrat.bsky.social! How do adaptive behaviors, triggered by risk perception, affect higher-order contagion processes? What happens to the contagion dynamics and to the phase transition? arxiv.org/abs/2601.05801 🧵1/7

The EATH model for realistic hypergraphs generation is now out in Physical Review E! 📣 journals.aps.org/pre/abstract... with @giuliacencetti.bsky.social and @alainbarrat.bsky.social 1/2

The conference is officially underway – here are some moments from the opening session.

New preprint out! 📣 “Emerging Activity Temporal Hypergraph (EATH), a model for generating realistic time-varying hypergraphs” with @giuliacencetti.bsky.social and @alainbarrat.bsky.social arxiv.org/abs/2507.01124 How can we generate realistic time-varying hypergraphs? 1/8 🧵⬇️

Delighted to announce the #CCS25 Scientific Dissemination Event! 🌐Free public event in italian called "La complessità è semplice?" 📅 Wednesday, September 3rd, 20:30 📍Teatro dei Rinnovati in the Palazzo Pubblico of Siena 🔗 ccs25.cssociety.org/public-disse...

@xgi.bsky.social in the wild 👀

Cosimo giving a compelling overview of his pairwise and higher-order network comparison measures

@beyondtheedge.network student Cosimo Agostinelli presenting higher-order dissimilarity measures as a way to compare temporal snapshots, empirical data to synthetic null models, etc.

Very nice higher-order generative model to try and reproduce the empirical dynamics

The hypercoreness ranking correlation between two timestamps is strongly dependent on the timescale (negative correlations for long enough time gap)

@marco-mancastroppa.bsky.social talking about temporal evolution from the lens of "hypercores" --- a higher-order extension of the k-core measure for pairwise networks

Towards StatPhys2025: interview with @nicoleyh11.bsky.social (University of Maryland) by Franco Bagnoli (Dept. Physics and Astronomy, University of Florence & Caffè-Scienza). youtu.be/oyIJTOGSmZE

Towards StatPhys2025: interview with @zdeborova.bsky.social (EPFL) by Franco Bagnoli (Dept. Physics and Astronomy, University of Florence & Caffè-Scienza). youtu.be/hplPGzFSRyo

Now out our new preprint “Higher-order dissimilarity measures for hypergraph comparison”! www.arxiv.org/abs/2503.16959 With Cosimo Agostinelli and @alainbarrat.bsky.social We extend to hypergraphs similarity measures defined previously only on pairwise networks. 🧵⬇️ 1/5

Verso StatPhys2025: intervista a @gin-bianconi.bsky.social (Queen Mary University of London) di Franco Bagnoli (Dip. Fisica e Astronomia, UNIFI & Caffè-Scienza). www.youtube.com/watch?v=VZ_b...

The Complex Systems Society has taken a stance! Read about the Manifesto on the Publishing and Evaluation Systems at: cssociety.org/about/manife... #CSSManifesto

Now out the Complex Systems Society manifesto about the publishing and evaluation systems. Check it out! cssociety.org/about/manife...

New work with @alainbarrat.bsky.social! How to generate surrogate temporal networks to replace real ones: arxiv.org/abs/2411.05477 Surrogates will have: - no temporal length limit - local dynamics similar to the real one - mesoscale features like clustering and modularity - long-term memory effects