Santo Fortunato
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
- 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? 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
- 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 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
- 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
- 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
- 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
- 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
- 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 🙏
- Reposted by Santo Fortunatoand 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
