activity
20112025
most citedRobustness and resilience of complex networks

642 citations · 889 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2025★ 642 cited

Robustness and resilience of complex networks

Oriol Artime, Marco Grassia, Manlio De Domenico +5

Complex networks are ubiquitous: a cell, the human brain, a group of people and the Internet are all examples of interconnected many-body systems characterized by macroscopic prope…

q-fin.ST2024

Systematic comparison of deep generative models applied to multivariate financial time series

Howard Caulfield, James P. Gleeson

Financial time series (FTS) generation models are a core pillar to applications in finance. Risk management and portfolio optimization rely on realistic multivariate price generati…

physics.soc-ph2024★ 1 cited

Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality

Laurent Hébert-Dufresne, Juniper Lovato, Giulio Burgio +3

Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions--the spread of ideas, beliefs, innovations--can lose or gain i…

physics.soc-ph2024

Time-dependent influence metric for cascade dynamics on networks

James P. Gleeson, Ailbhe Cassidy, Daniel Giles +1

An algorithm for efficiently calculating the expected size of single-seed cascade dynamics on networks is proposed and tested. The expected size is a time-dependent quantity and so…

physics.soc-ph2011★ 246 cited

High-accuracy approximation of binary-state dynamics on networks

James P. Gleeson

Binary-state dynamics (such as the susceptible-infected-susceptible (SIS) model of disease spread, or Glauber spin dynamics) on random networks are accurately approximated using ma…