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The model easily accommodates various heterogeneities of the agents, being suitable for extensive ABM simulations, which we only started to explore. Beautifully, a mean-field (aka representative agents) approximation allows to analytically characterise the rich phenomenology,

revealing the crucial role that non-mon. terms can play. You can find all the details and much more in the paper 👆 More to come!🎧

Hey, do you know that a bow-tie is elegant even on a social network? Check out our latest work! on Scientific Reports rdcu.be/cSz2I Bow-ties structures of Twitter discursive communities Fabio Saracco ☮️ Guido Caldarelli 贵多 manuel pratelli Mattia Mattei

The hottest paper of this hot summer is finally OUT! Scientific Reports "Bow‐tie structures of twitter discursive communities" [nature.com/articles/s4159…] in collaboration with Mattia Mattei manuel pratelli Guido Caldarelli 贵多 Marinella Petrocchi Centro Ricerche Enrico Fermi 🧵 1/7

I'm very proud to announce the publication of our latest work by Scientific Reports, in collaboration with the amazing Fabio Saracco ☮️, Guido Caldarelli 贵多, Marinella Petrocchi and manuelP88. We tried to shed light on the phenomenon of infodemics. Check this out!! ⬇️ nature.com/articles/s4159…

📄We highly suggest you to look at Guido Caldarelli 贵多’s latest publication “Bow-tie structures of twitter discursive communities” published in Scientific Reports If you are interested, please click here for the full-text 👉 bit.ly/3Bum7q2

Piergiorgio Castioni talking about optimal vaccination strategies (and, btw, what optimal means?) CCS2022

Can spreading between two agents be altered by the presence of other agents? Yes, it can. [Hint: infectious spreading under voluntary face-mask adoption] "Spreading dynamics in networks under context-dependent behavior" w/ Alex Arenas & Sergio Gómez at arxiv.org/abs/2211.00435

Congratulations to newly minted Dr Benjamin Steinegger, who has recently obtained his PhD from Universitat Rovira i Virgili 👏 supervised by Àlex Arenas & Clara Granell. We wish you all the best in this new stage! ➡️urv.cat/en/research/su… 🇪🇺 #EUfunded #H2020 #MSCA #cofundURV #MyEUresearch

Wastewater-Based Epidemiology can help account for unreported infections and anticipate the need for diagnostic tests. In our latest work we analyzed genome copies of SARS-CoV-2 shed in Catalonia's wastewater plants. Check this out at medrxiv.org/content/10.110… w/Alex Arenas

Nou Water Research amb Mattia Mattei, Rosa Maria Pintó, Susana Guix Albert Bosch. Les dades d'aigües residuals preveien els casos notificats de COVID en uns 9 dies, proporcionant una alerta primerenca d'augment de casos en el context sanitari de l'estudi a Catalunya. sciencedirect.com/science/articl…

Fabio Saracco ☮️ Mattia Mattei Marinella Petrocchi now NetSci 2023 in Wien with the best poster ever!! nature.com/articles/s4159…

It’s not just how many interactions of each order there are and how strong they are: their structural arrangement *really* matters. And you need to retain dynamical correlations to see it. Out Physical Review Letters journals.aps.org/prl/abstract/1… Alex Arenas Sergio Gómez

Our first work on the analysis of microbiome is out, with the great Mattia Mattei. Phys. Rev. E 110, 014404 (2024) - Exploring spatial segregation induced by competition avoidance as driving mechanism for emergent coexistence in microbial communities journals.aps.org/pre/abstract/1…

Exploring spatial segregation induced by competition avoidance as driving mechanism for emergent coexistence in microbial communities, Mattia Mattei and Alex Arenas #Networks #BiologicalPhysics Alex Arenas Mattia Mattei go.aps.org/3RVOvKY

Senior Scientific Award @AelxArenas CSS

How do different evolutionary mechanisms shape the long-term persistence of viruses in the population? Does transmissibility always help them become endemic? If curious about these questions, check out my latest preprint! Comments are more than welcome 😀 arxiv.org/abs/2411.02097

Our paper on the "Rebound in epidemic control: how misaligned vaccination timing amplifies infection peaks", is now published in npj Complexity. Collaboration wt great team Piergiorgio Castioni, Sergio Gómez, and Clara Granell, Excited to share these insights! bit.ly/3Z7V8O8

Machine learning mathematical models for incidence estimation during pandemics journals.plos.org/ploscompbiol/a…

During a pandemic such as COVID19, we hope (but fail) to accurately estimate the incidence of the disease. In this paper, we propose a new approach to machine-learn models of the real incidence from readily available information (tests and detected cases) journals.plos.org/ploscompbiol/a…