activity
20222025
most citedWhat we should learn from pandemic publishing

4 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

physics.soc-ph2025

Generalized Friendship Paradoxes in Network Science

Desmond J. Higham, Francesco Hrobat, Francesco Tudisco

Generalized friendship paradoxes occur when, on average, our friends have more of some attribute than us. These paradoxes are relevant to many aspects of human interaction, notably…

math.DS2025

Synchronization of coupled Stuart-Landau oscillators: How heterogeneity can facilitate synchronization

Ana P Millán, David Poyato, David N Reynolds +1

We study the collective dynamics of coupled Stuart--Landau oscillators, which model limit-cycle behavior near a Hopf bifurcation and serve as the amplitude-phase analogue of the Ku…

physics.soc-ph2024

Core-periphery detection in multilayer networks

Kai Bergermann, Francesco Tudisco

Multilayer networks provide a powerful framework for modeling complex systems that capture different types of interactions between the same set of entities across multiple layers.…

physics.soc-ph2024★ 4 cited

What we should learn from pandemic publishing

Satyaki Sikdar, Sara Venturini, Marie-Laure Charpignon +5

Authors of COVID-19 papers produced during the pandemic were overwhelmingly not subject matter experts. Such a massive inflow of scholars from different expertise areas is both an…

math.NA2023

A nonlinear spectral core-periphery detection method for multiplex networks

Kai Bergermann, Martin Stoll, Francesco Tudisco

Core-periphery detection aims to separate the nodes of a complex network into two subsets: a core that is densely connected to the entire network and a periphery that is densely co…

math.DS2023

Unique Nash equilibrium of a nonlinear model of opinion dynamics on networks with friction-inspired stubbornness

David N. Reynolds, Francesco Tudisco

The modeling of opinion dynamics has seen much study in varying academic disciplines. Understanding the complex ways information can be disseminated is a complicated problem for ma…

cs.SI2022★ 1 cited

Core-periphery detection in hypergraphs

Francesco Tudisco, Desmond J. Higham

Core-periphery detection is a key task in exploratory network analysis where one aims to find a core, a set of nodes well-connected internally and with the periphery, and a periphe…

cs.SI2022★ 1 cited

Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer

Catherine F. Higham, Desmond J. Higham, Francesco Tudisco

We propose a new kernel that quantifies success for the task of computing a core-periphery partition for an undirected network. Finding the associated optimal partitioning may be e…