Marco Mancastroppa
@marco-mancastroppa.bsky.social
Physicist.
Postdoc at Centre de Physique Théorique, CNRS, Aix-Marseille Université
https://marco-mancastroppa.github.io/
Postdoc at Centre de Physique Théorique, CNRS, Aix-Marseille Université
https://marco-mancastroppa.github.io/
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
journals.aps.org/pre/abstract...
with @giuliacencetti.bsky.social and @alainbarrat.bsky.social
1/2
Emerging activity temporal hypergraph: 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...
journals.aps.org
November 10, 2025 at 9:24 AM
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
journals.aps.org/pre/abstract...
with @giuliacencetti.bsky.social and @alainbarrat.bsky.social
1/2
Reposted by Marco Mancastroppa
The conference is officially underway – here are some moments from the opening session.
September 1, 2025 at 7:14 AM
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” 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
July 3, 2025 at 8:15 AM
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” with @giuliacencetti.bsky.social and @alainbarrat.bsky.social
arxiv.org/abs/2507.01124
How can we generate realistic time-varying hypergraphs?
1/8 🧵⬇️
Reposted by Marco Mancastroppa
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...
🌐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...
June 11, 2025 at 1:37 PM
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...
🌐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...
Reposted by Marco Mancastroppa
Reposted by Marco Mancastroppa
Cosimo giving a compelling overview of his pairwise and higher-order network comparison measures
June 3, 2025 at 8:37 AM
Cosimo giving a compelling overview of his pairwise and higher-order network comparison measures
Reposted by Marco Mancastroppa
@beyondtheedge.network student Cosimo Agostinelli presenting higher-order dissimilarity measures as a way to compare temporal snapshots, empirical data to synthetic null models, etc.
June 3, 2025 at 8:27 AM
@beyondtheedge.network student Cosimo Agostinelli presenting higher-order dissimilarity measures as a way to compare temporal snapshots, empirical data to synthetic null models, etc.
Reposted by Marco Mancastroppa
Very nice higher-order generative model to try and reproduce the empirical dynamics
June 3, 2025 at 8:14 AM
Very nice higher-order generative model to try and reproduce the empirical dynamics
Reposted by Marco Mancastroppa
The hypercoreness ranking correlation between two timestamps is strongly dependent on the timescale (negative correlations for long enough time gap)
June 3, 2025 at 8:11 AM
The hypercoreness ranking correlation between two timestamps is strongly dependent on the timescale (negative correlations for long enough time gap)
Reposted by Marco Mancastroppa
@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
June 3, 2025 at 8:08 AM
@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
@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
May 9, 2025 at 12:15 PM
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
@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
youtu.be/hplPGzFSRyo
Interview with Lenka Zdeborova
YouTube video by fisica di tutti i giorni
youtu.be
May 7, 2025 at 11:51 AM
Towards StatPhys2025: interview with @zdeborova.bsky.social (EPFL) by Franco Bagnoli (Dept. Physics and Astronomy, University of Florence & Caffè-Scienza).
youtu.be/hplPGzFSRyo
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
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...
www.arxiv.org
March 25, 2025 at 2:48 PM
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
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...
www.youtube.com/watch?v=VZ_b...
Intervista a Ginestra Bianconi
YouTube video by fisica di tutti i giorni
www.youtube.com
March 5, 2025 at 6:12 PM
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...
www.youtube.com/watch?v=VZ_b...
Reposted by Marco Mancastroppa
The Complex Systems Society has taken a stance! Read about the Manifesto on the Publishing and Evaluation Systems at:
cssociety.org/about/manife...
#CSSManifesto
cssociety.org/about/manife...
#CSSManifesto
Complex Systems Society
cssociety.org
February 28, 2025 at 7:35 AM
The Complex Systems Society has taken a stance! Read about the Manifesto on the Publishing and Evaluation Systems at:
cssociety.org/about/manife...
#CSSManifesto
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...
cssociety.org/about/manife...
Complex Systems Society
cssociety.org
February 25, 2025 at 9:51 AM
Now out the Complex Systems Society manifesto about the publishing and evaluation systems. Check it out!
cssociety.org/about/manife...
cssociety.org/about/manife...
Reposted by Marco Mancastroppa
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
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
November 18, 2024 at 9:25 AM
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
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