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
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...
AAAS welcomes 13 IU faculty members as 2025 fellows
A record-breaking number of Indiana University faculty members join the American Association for the Advancement of Science. AAAS fellows are recognized f...
news.iu.edu
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...
Scale invariance and statistical significance in complex weighted networks
Most 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...
journals.aps.org
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
Graph energy as a measure of community detectability in networks
A 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...
arxiv.org
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
What defines a group of friends? Rethinking community structure in signed, directed networks
We 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 ...
arxiv.org
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
Multilayer network science: theory, methods, and applications
Multilayer 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...
arxiv.org
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
The Effects of Remote Working on Scientific Collaboration and Impact
The 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...
arxiv.org
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
Detectability threshold in weighted modular networks
We 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...
arxiv.org
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
Scale invariance and statistical significance in complex weighted networks
Most 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...
arxiv.org
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
Luddy’s Fortunato named James H. Rudy Professor of Informatics and Computing
A 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...
shorturl.at
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
Toward a Physics of Deep Learning and Brains
Deep 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...
arxiv.org
My tribute to Alex Vespignani's 60th birthday, a celebration of his unique ability to lead large teams. How can we pot the black ball into the side pocket bypassing the obstruction of the blue and the yellow? With great team work, involving all 16 balls! www.youtube.com/watch?v=-pmg...
Tribute for Alex Vespignani 60's birthday: Team Work
YouTube video by Santo Fortunato
youtube.com
Our book "A First Course in Network Science" (shorturl.at/T9UU4) is one of the top three books in the discipline, according to Amazon. Thanks to readers and instructors for their vote of confidence 🙏
and if python is OK, one of the best undergrad level intros to Networks is Menczer-Fortunato-Davis: cambridgeuniversitypress.github.io/FirstCourseN... @fil.bsky.social @santof.bsky.social
FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook “A First Course in Network Science” by Menczer, Fortunato & Davis
cambridgeuniversitypress.github.io
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...
Cell Type Differentiation Using Network Clustering Algorithms
Single 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 ...
biorxiv.org
Quick reminder about the Network Neuroscience panel organized by AccelNet Multinet. Featuring @danisbassett.bsky.social, Petra Vertes, @lindadouw.bsky.social, Bratislav Misic, and moderated by @fdevicofallani.bsky.social. Join us this Friday, Dec 06, 2024, at 11am ET. Register here: t.ly/enXlU
AccelNet MultiNet
t.ly
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/...
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 uncover strengths and limi...
nature.com
There is no place in Asia where you can hide from our network science book. So, accept your fate and start playing with networks 😀
Happy to lead the 2024 Stanford's Top 2% Scientists ranking in our school and to be in such a good company ☺️ news.luddy.indiana.edu/story.html?s...
Luddy School researchers rate among world’s best
Twenty-three Luddy School faculty ranked among the world’s top 2 percent scientists in their fields for 2024 in the prestigious Stanford/Elsevier rankings. Professor of Informatics Santo Fortunato was...
news.luddy.indiana.edu