activity
20242026
collaborators

5 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…

q-fin.ST2026

Lower spectrum of financial correlation matrices: a new perspective on market synchronization

Rosanna Grassi, Caterina Pastorino, Pierpaolo Uberti

In this paper we investigate the information content of the lower part of the spectrum of financial correlation matrices, as a source of information on market synchronization. In a…

q-fin.PM2025

Local and Global Balance in Financial Correlation Networks: an Application to Investment Decisions

Paolo Bartesaghi, Rosanna Grassi, Pierpaolo Uberti

The global balance is a well-known indicator of the behavior of a signed network. Recent literature has introduced the concept of local balance as a measure of the contribution of…

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…

q-fin.RM2024

Global Balance and Systemic Risk in Financial Correlation Networks

Paolo Bartesaghi, Fernando Diaz-Diaz, Rosanna Grassi +1

The global balance index is used in the network literature to quantify how balanced a signed network is. In this paper we show that the global balance index of financial correlatio…