@filrad
 Bloomington, IN
cgi.luddy.indiana.edu/~filiradi/
Joined October 2009
  • Tweets211
  • Following8
  • Followers573
5Media
Filippo Radicchi retweeted
Thomas G. Dietterich@tdietterichMay 14
Attention @arxiv authors: Our Code of Conduct states that by signing your name as an author of a paper, each author takes full responsibility for all its contents, irrespective of how the contents were generated. 1/
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Filippo Radicchi retweeted
Robert Jankowski@rjankowskiubApr 8
New paper in @MLSTjournal: task difficulty leaves a clear signature in neural networks, and for harder tasks even simple binarization can collapse performance to chance. Read more: iopscience.iop.org/article/1… @filrad @MAngelsSerranoM Marián Boguñá @santo_fortunato

Task complexity shapes internal representations and robustness in neural networks

Task complexity shapes internal representations and robustness in neural networks, Jankowski, Robert, Radicchi, Filippo, Serrano, M �ngeles, Boguñá, Marián, Fortunato, Santo

iopscience.iop.org
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Filippo Radicchi retweeted
NetScience@net_scienceMay 7
Dynamical processes and emergent behaviors in multiplex networks arxiv.org/abs/2605.04199

Dynamical processes and emergent behaviors in multiplex networks

Over the last two decades, network science has greatly advanced our understanding of how the collective behaviors of a complex system emerge from the interactions among its basic units. Multiplex...

arxiv.org
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If you want to dismantle a multilayer network you can use MultiDismantler nature.com/articles/s42256-0…

Deep-learning-aided dismantling of interdependent networks

Nature Machine Intelligence - The dismantling problem of removing the smallest set of nodes so that a given network breaks into disconnected components is hard to solve exactly. Gu and colleagues...

nature.com
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Pdf freely available here rdcu.be/ev6ZT
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For a faster iterative algorithm to compute Plackett-Luce scores check this out. journals.aps.org/pre/abstrac… @dankaiser37 @PhysRevE

Efficient inference of rankings from multibody comparisons

This study deals with the assessment and prediction of the performance of players, teams, or products in competitive contests. While most approaches rely on pair interactions, the authors study the...

journals.aps.org
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Filippo Radicchi retweeted
Michele Starnini@m_starnini2 Jul 2025
Last paper out on @NatureHumBehav: Has political polarization increased in the last decades because individuals changed their minds about fundamental issues, or have they simply sorted themselves into parties matching their ideology more closely? nature.com/articles/s41562-0…
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New pre-print out 📝 This was an exciting project with @TylerDiggans and @filrad! arXiv: arxiv.org/abs/2504.04245

Modeling resource consumption in the US air transportation system...

We introduce a dynamic percolation model aimed at describing the consumption, and eventual exhaustion, of resources in transportation networks. In the model, rational agents progressively consume...

arxiv.org
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Filippo Radicchi retweeted
Ginestra Bianconi@gin_bianconi4 Mar 2025
Gravity from entropy: a radical new approach to unifying quantum mechanics and general relativity qmul.ac.uk/media/news/2025/s… @QMUL @PhysRevD URL of the paper: link.aps.org/doi/10.1103/Phy…
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Filippo Radicchi retweeted
Ginestra Bianconi@gin_bianconi3 Mar 2025
"Gravity from entropy". The title says it all. So happy to see my latest work proposing the quantum relative entropy as the action for quantum gravity now published in Phys. Rev. D!! journals.aps.org/.../10.1103…
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Filippo Radicchi retweeted
Michele Starnini@m_starnini17 Feb 2025
Hiring a postdoc in higher-order social dynamics: we will be doing models AND experiments (!) 36k/year renewable up to 3 yrs. In Barcelona, of course ;) Please RT! upf.edu/web/wssc/postdoc-opp…
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Filippo Radicchi retweeted
CoMuNe Lab@ComuneLab14 Feb 2025
🚨 Excited for the latest paper from the lab, led by Zhang & Arsham Can we coarse-grain a #ComplexNetwork while preserving macroscopic network flows? Surprisingly, the answer is positive, and we have shown it by means of StatPhys + Machine Learning 🧵1/ nature.com/articles/s41467-0…

Coarse-graining network flow through statistical physics and machine learning

Nature Communications - Information dynamics are key in complex systems. The authors apply graph neural networks to group components for coarse-graining networks, reducing computational complexity....

nature.com
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Filippo Radicchi retweeted
Hiroki Sayama@HirokiSayama9 Jan 2025
I am extremely proud to have this paper finally published (especally in such a great venue): rdcu.be/d5Mk4 This is our 7-year-long project to experimentally test the effects of people's functional diversities and social network structure on collective performance Enjoy!
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So honoured to speak at the klogW seminar series organized by the by the topical group on Statistical and Nonlinear Physics (GSNP) of the American Physical Society (APS). Join us this Wednesday 4 December at 12pm EST and register here engage.aps.org/gsnp/resource…
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Happy to see that @NatureComms has put our recent article on embedding and clustering (nature.com/articles/s41467-0…) in their list of top 50 papers in Applied Math and Physics @skojaku @filrad @IULuddy @ApsGsnp nature.com/collections/hjhbg…

Network community detection via neural embeddings

Nature Communications - Approaches based on neural graph embeddings have shown their effectiveness for complex networks analysis, including link prediction and node classification. The authors...

nature.com
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Filippo Radicchi retweeted
Sadamori Kojaku@skojaku8 Nov 2024
Our paper on the detectability limit of neural embeddings is finally out from @NatureComms! We showed that a simple shallow neural net w/o non-linear activation can achieve the optimal community detectability limit. Let's dive in! @santo_fortunato @filrad nature.com/articles/s41467-0…

Network community detection via neural embeddings

Nature Communications - Approaches based on neural graph embeddings have shown their effectiveness for complex networks analysis, including link prediction and node classification. The authors...

nature.com
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Neural embedding excels in community detection—find out why in the study on node2vec by @skojaku @filrad @santo_fortunato nature.com/articles/s41467-0…

Network community detection via neural embeddings

Nature Communications - Approaches based on neural graph embeddings have shown their effectiveness for complex networks analysis, including link prediction and node classification. The authors...

nature.com
NetScience@net_science1 Nov 2024
Network community detection via neural embeddings nature.com/articles/s41467-0…

Network community detection via neural embeddings

Nature Communications - Approaches based on neural graph embeddings have shown their effectiveness for complex networks analysis, including link prediction and node classification. The authors...

nature.com
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(Some) neural embeddings, like node2vec, are surprisingly good at learning community structure! Check our paper, just out in @NatureComms @filrad @yyahn @skojaku @IULuddy @ApsGsnp rdcu.be/dYOZs
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🌍 #CompleNet25 is coming to Fortaleza, Brazil! This is an opportunity to contribute to global #NetworkScience, embracing diversity in research. Submit your work and be part of an international event in the Global South! 🌐 cmt3.research.microsoft.com/… #DiversityInScience
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Our keynote speakers this past event at @UniofExeter. Thank you to @Elisabel76, @a_cardillo, @_giuliacencetti, @vcolizza, @RobinDunbar10, @iacopoiacopini, @rafaelprietoc, and @filrad for their contribution! Join us in Fortaleza. Deadline: Nov 15 complenet.weebly.com/call-fo…
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