Santo Fortunato

Santo Fortunato

@santof.bsky.social

James H. Rudy Professor of Informatics and Computing at Indiana University Bloomington. Interested in networks, computational social science, science of science, artificial intelligence. Website: https://www.santofortunato.net

609 followers1 following18 posts

Santo Fortunato
@santof.bsky.social

Submit your abstract for the session "Statistical Physics of Networks: Theory and Applications to Complex Systems" at the Global Summit 2027 of the American Physical Society, the largest physics event on earth! The invited speaker is the great @dashunwang.bsky.social. DEADLINE: OCTOBER 22nd, 2026.

Santo Fortunato
@santof.bsky.social

Honored to be elected Fellow of the American Association for the Advancement of Science. I am indebted to my star nominators and to all my mentors, students, postdocs, and collaborators 🙏 @aaas.org @apsphysics.bsky.social @netscisociety.bsky.social news.iu.edu/live/news/49...

news.iu.eduAAAS welcomes 13 IU faculty members as 2025 fellowsA record-breaking number of Indiana University faculty members join the American Association for the Advancement of Science. AAAS fellows are recognized f...
Santo Fortunato
@santof.bsky.social

Our paper "Scale invariance and statistical significance in complex weighted networks" is out on PRE: If the distribution of edge weights in your null model depends on the weights' unit, you will be in trouble! @filipisilva.bsky.social @skojaku.bsky.social journals.aps.org/pre/abstract...

journals.aps.orgScale invariance and statistical significance in complex weighted networksMost networks encountered in nature, society, and technology have weighted edges, representing the strength of the interaction or association between their vertices. Randomizing the structure of a net...
Santo Fortunato
@santof.bsky.social

Leading eigenvectors of the adjacency matrix miss the community detectability transition in sparse networks generated by the planted partition model. But the graph energy can see it! 🙏 Lucas Boettcher & Mason Porter for the great collaboration! @iuluddy.bsky.social arxiv.org/abs/2601.05065

arxiv.orgGraph energy as a measure of community detectability in networksA key challenge in network science is the detection of communities, which are sets of nodes in a network that are densely connected internally but sparsely connected to the rest of the network. A fund...
Santo Fortunato
@santof.bsky.social

What defines a group of friends? Check our analysis of a social network with directed, weighted, and signed links! Lovely collaboration with @miguelagoncas.bsky.social and @anxosanchez.bsky.social. arxiv.org/abs/2512.16399

arxiv.orgWhat defines a group of friends? Rethinking community structure in signed, directed networksWe study the structure of personal relationships among 1068 high school students using a dataset that contains the network of self-reported friendly and conflictive relationships, with information on ...
Santo Fortunato
@santof.bsky.social

Our review on multilayer network science is out on the arXiv. Thanks to all collaborators of the AccelNet MultiNet project, great working with you all 🙏 @alexvespi.bsky.social @ymoreno.bsky.social @lordgrilo.bsky.social @anduviera.bsky.social @baronca.bsky.social arxiv.org/abs/2511.23371

arxiv.orgMultilayer network science: theory, methods, and applicationsMultilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increasing availability of...
Santo Fortunato
@santof.bsky.social

The Covid pandemic accelerated an ongoing shift towards remote working. Plus: scientists frequently collaborate with people from other institutions. Minus: paper impact decreased (are online interactions less creative?). @satyakisikdar.bsky.social @ftudisco.bsky.social arxiv.org/abs/2511.18481

arxiv.orgThe Effects of Remote Working on Scientific Collaboration and ImpactThe COVID-19 pandemic shifted academic collaboration from in-person to remote interactions. This study explores, for the first time, the effects on scientific collaborations and impact of such a shift...
Santo Fortunato
@santof.bsky.social

When are communities detectable in weighted networks? You can find the answer in our latest preprint. Great collaboration with @filipisilva.bsky.social @skojaku.bsky.social arxiv.org/abs/2511.00214

arxiv.orgDetectability threshold in weighted modular networksWe study the necessary condition to detect, by means of spectral modularity optimization, the ground-truth partition in networks generated according to the weighted planted-partition model with two eq...
Santo Fortunato
@santof.bsky.social

When you randomize a weighted network, be careful! Results may depend on the unit used for the weights, particularly when you want to know if they are statistically significant. Check our paper, just out on the arXiv. @skojaku.bsky.social @filipisilva.bsky.social arxiv.org/abs/2510.23964

arxiv.orgScale invariance and statistical significance in complex weighted networksMost networks encountered in nature, society, and technology have weighted edges, representing the strength of the interaction/association between their vertices. Randomizing the structure of a networ...
Santo Fortunato
@santof.bsky.social

Honored to be named James H. Rudy Professor of Informatics and Computing at Indiana University. I am grateful to the university leadership and to all my mentors, advisors, students, postdocs, and collaborators for pushing me to this career high. shorturl.at/zbVYB

shorturl.atLuddy’s Fortunato named James H. Rudy Professor of Informatics and ComputingA quarter century of research excellence has helped the Luddy School’s Santo Fortunato earn the title of James H. Rudy Professor of Informatics and Computi...
Santo Fortunato
@santof.bsky.social

Cascades of activity in deep neural networks reveal that they learn best when they are at quasi-criticality, just like brains. Take a look at our paper, just out on the arXiv! arxiv.org/abs/2509.22649

arxiv.orgToward a Physics of Deep Learning and BrainsDeep neural networks and brains both learn and share superficial similarities: processing nodes are likened to neurons and adjustable weights are likened to modifiable synapses. But can a unified theo...
Santo Fortunato
@santof.bsky.social

Can we identify cell types using network community detection algorithms? Find the answer in our paper, just out on biorxiv. Fun collaboration with our great medical school @ajsaykin.bsky.social @filipisilva.bsky.social www.biorxiv.org/content/10.1...

biorxiv.orgCell Type Differentiation Using Network Clustering AlgorithmsSingle cell RNA-seq (scRNA-seq) technologies provide unprecedented resolution representing transcriptomics at the level of single cell. One of the biggest challenges in scRNA-seq data analysis is the ...
Santo Fortunato
@santof.bsky.social

Happy to see that Nature Communications has put our recent article on embedding and clustering (www.nature.com/articles/s41...) in their list of top 50 papers in Applied Math and Physics www.nature.com/collections/...

nature.comNetwork community detection via neural embeddings - Nature CommunicationsApproaches based on neural graph embeddings have shown their effectiveness for complex networks analysis, including link prediction and node classification. The authors uncover strengths and limi...

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