activity
20192026
most citedMulti-attribute community detection in International Trade Network

17 citations · 21 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SI2026

Scaled Null-Adjusted Persistence: A Multiscale Bridge between Modularity and Persistence

Alessandro Avellone, Paolo Bartesaghi, Stefano Benati +1

Community detection methods must balance two competing objectives: identifying small, cohesive groups while avoiding excessive fragmentation. Modularity, the most widely adopted op…

physics.soc-ph2025

Null-adjusted persistence function for high-resolution community detection

Alessandro Avellone, Paolo Bartesaghi, Stefano Benati +2

Modularity and persistence probability are two widely used quality functions for detecting communities in complex networks. In this paper, we introduce a new objective function cal…

math.OC2023

A Mathematical Programming approach to Overlapping community detection by cluster's Shapley value

Stefano Benati, Justo Puerto, Antonio M. Rodríguez-Chía +1

We propose a new model to detect the overlapping communities of a network that is based on cooperative games and mathematical programming. More specifically, communities are define…

physics.soc-ph2022★ 2 cited

A Network Model for Multiple Selection Questions in Opinion Surveys

Stefano Benati, Justo Puerto

Opinion surveys can contain closed questions to which respondents can give multiple answers. We propose to model these data as networks in which vertices are eligible items and arc…

math.OC2022★ 2 cited

On Finding the Community with Maximum Persistence Probability

Alessandro Avellone, Stefano Benati, Rosanna Grassi +1

The persistence probability is a statistical index that has been proposed to detect one or more communities embedded in a network. Even though its definition is straightforward, e.…

math.OC2021

A Branch-and-price procedure for clustering data that are graph connected

Stefano Benati, Diego Ponce, Justo Puerto +1

This paper studies the Graph-Connected Clique-Partitioning Problem (GCCP), a clustering optimization model in which units are characterized by both individual and relational data.…

physics.soc-ph2019★ 17 cited

Multi-attribute community detection in International Trade Network

Paolo Bartesaghi, Stefano Benati, Gian Paolo Clemente +1

Understanding the structure of communities in a network has a great importance in the economic analysis. Communities are indeed characterized by specific properties, that are diffe…