A record-breaking number of Indiana University faculty members join the American Association for the Advancement of Science. AAAS fellows are recognized f...

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...

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...

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 ...

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...

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...

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...

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...

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...

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...

YouTube video by Santo Fortunato

Tutorials, datasets, and other material associated with textbook “A First Course in Network Science” by Menczer, Fortunato & Davis

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 ...

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...

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...