Santo Fortunato

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...

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

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 ...

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

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...

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

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...

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

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...

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

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...

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

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...

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

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...

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

YouTube video by Santo Fortunato Tribute for Alex Vespignani 60's birthday: Team Work

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...

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

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 ...

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...

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

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...

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/...

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...