activity
19992026
most citedCommunity detection in graphs

11.5k citations · 38.7k across the 103 of their papers we have counts for

collaborators

103 papers

cs.DL2026

The backbone of science: analysis of citation networks between papers and their sources

Wonhee Jeong, Dimitri Marinelli, Satyaki Sikdar +2

The bibliography of scientific papers lists items with variable degree of relevance for the contents of the paper itself. If we could identify the sources, i.e., the works that act…

cs.IR2024

Parallel Algorithms for Median Consensus Clustering in Complex Networks

Md Taufique Hussain, Mahantesh Halappanavar, Samrat Chatterjee +3

We develop an algorithm that finds the consensus of many different clustering solutions of a graph. We formulate the problem as a median set partitioning problem and propose a gree…

physics.soc-ph2023

Symmetry breaking in optimal transport networks

Siddharth Patwardhan, Marc Barthelemy, Sirag Erkol +2

Despite its importance for practical applications, not much is known about the optimal shape of a network that connects in an efficient way a set of points. This problem can be for…

cs.SI2023★ 2 cited

Representing the Disciplinary Structure of Physics: A Comparative Evaluation of Graph and Text Embedding Methods

Isabel Constantino, Sadamori Kojaku, Santo Fortunato +1

Recent advances in machine learning offer new ways to represent and study scholarly works and the space of knowledge. Graph and text embeddings provide a convenient vector represen…

physics.soc-ph2023★ 1 cited

Network community detection via neural embeddings

Sadamori Kojaku, Filippo Radicchi, Yong-Yeol Ahn +1

Recent advances in machine learning research have produced powerful neural graph embedding methods, which learn useful, low-dimensional vector representations of network data. Thes…

physics.soc-ph2023★ 11 cited

Epidemic spreading in group-structured populations

Siddharth Patwardhan, Varun K. Rao, Santo Fortunato +1

Individuals involved in common group activities/settings -- e.g., college students that are enrolled in the same class and/or live in the same dorm -- are exposed to recurrent cont…