We welcome contributions on healthcare networks, patient flows, antimicrobial resistance, healthcare-associated infections, infectious disease modelling, surveillance, health data science, public health decision-making, and legal and ethical dimensions of AMR control. #AMR2026 #CallForAbstracts

ARCANE Project@arcane-project.bsky.social · 4d ago

📣 Confirmed invited speakers announced! 🔗 Submit and register: lnkd.in/dQ6yz2r7 📝 Abstract deadline: 04 September 2026 ✅ Registration deadline: 18 September 2026 #AntimicrobialResistance #AMR #HealthcareNetworks #InfectiousDiseaseModelling #PublicHealth #Epidemiology #CallForAbstracts

I’m delighted to be an invited speaker at the ARCANE Workshop on Modeling Antimicrobial Resistance, October 19-21, 2026 in Paris. The call for abstracts is now open! Submit your abstract here: arcane.sciencesconf.org Thanks to the organizers. Look forward to seeing many colleagues in Paris!

🚨📣Call for abstracts now open! ARCANE Workshop on Adaptive Healthcare Networks & Antimicrobial Resistance 📍 Paris | 19–21 Oct 2026 arcane.sciencesconf.org?lang=en Confirmed speakers: @koutterson.bsky.social Monika J. Piotrowska, Sen Pei, Timothy Hallett, Julie Robotham

📣 Confirmed invited speakers announced! 🔗 Submit and register: lnkd.in/dQ6yz2r7 📝 Abstract deadline: 04 September 2026 ✅ Registration deadline: 18 September 2026 #AntimicrobialResistance #AMR #HealthcareNetworks #InfectiousDiseaseModelling #PublicHealth #Epidemiology #CallForAbstracts

🚨📣Call for abstracts now open! ARCANE Workshop on Adaptive Healthcare Networks & Antimicrobial Resistance 📍 Paris | 19–21 Oct 2026 arcane.sciencesconf.org?lang=en Scientific Committee: @pascalcrepey.bsky.social, @tjibbed.bsky.social, @andkarch.bsky.social, @vcolizza.bsky.social, Laura Temime

Higher-order adaptive behaviors outperform pairwise strategies in mitigating contagion dynamics link.aps.org/doi/10.1103/...

Out now our Joint Submission @apsphysics.aps.org ! w/ @martonkarsai.bsky.social and @alainbarrat.bsky.social How do adaptive behaviors affect higher-order contagion dynamics? doi.org/10.1103/1sgn... Is group adaptation more effective and less costly than pairwise one? doi.org/10.1103/7zyh... 1/3

How do group adaptive behaviors influence the emergence of polarization and consensus? Our work on the impact of group adaptation on opinion dynamics is now out in APS Open Science! 🚨 journals.aps.org/apsos/abstra... with Cosimo Agostinelli and @alainbarrat.bsky.social 1/2

SUMOC seminar tomorrow by Giulia Pullano (also online)

Our new preprint is out on arXiv: Jiyoung Kang, Hang-Hyun Jo, Naoki Masuda, Quantifying concurrency in event-based temporal network and hypergraph data arxiv.org/abs/2605.24633

Quantifying concurrency in event-based temporal network and hypergraph data

Many social, biological, and technological systems are recorded as sequences of time-stamped interactions. In such systems, concurrency, i.e., the tendency for an individual to participate in multiple...

arxiv.org

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

Simple spatial processes can generate heterogeneous contact distributions in face-to-face interactions

Face-to-face interactions reveal recurring patterns, suggesting the possibility of shared underlying mechanisms. More specifically, inter-contact durations, contact durations and number of contacts pe...

arxiv.org

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 🧵👇

Group adaptation drives opinion dynamics in higher-order networks

In modern interconnected societies, opinions and beliefs can quickly spread across large populations, giving rise to collective behaviors such as the adoption of social norms or polarization. These ph...

arxiv.org

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

complenet.weeblysite.com

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

Higher-order dissimilarity measures for hypergraph comparison

Abstract. In recent years, networks with higher-order interactions have emerged as a powerful tool to model complex systems. Comparing these higher-order s

academic.oup.com

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

Higher-order adaptive behaviors outperform pairwise strategies in mitigating contagion dynamics

When exposed to a contagion phenomenon, individuals may respond to the perceived risk of infection by adopting behavioral changes, aiming to reduce their exposure or their risk of infecting others. Th...

arxiv.org

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

Adaptive behaviors neutralize bistable explosive transitions in higher-order contagion

During contagion phenomena, individuals perceiving a risk of infection commonly adapt their behavior and reduce their exposure. The effects of such adaptive mechanisms have been studied for processes ...

arxiv.org

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 🧵⬇️

Emerging Activity Temporal Hypergraph (EATH), a model for generating realistic time-varying hypergraphs

Time-varying group interactions constitute the building blocks of many complex systems. The framework of temporal hypergraphs makes it possible to represent them by taking into account the higher-orde...

arxiv.org

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

Interview with Nicole Yunger Halpern

YouTube video by fisica di tutti i giorni

youtu.be

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

Interview with Lenka Zdeborova

YouTube video by fisica di tutti i giorni

youtu.be

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

Higher-order dissimilarity measures for hypergraph comparison

In recent years, networks with higher-order interactions have emerged as a powerful tool to model complex systems. Comparing these higher-order systems remains however a challenge. Traditional similar...

arxiv.org