108 citations · 155 across the 21 of their papers we have counts for
5 papers · 1 filter
ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration
Annamaria Defilippo, Ugo Lomoio, Barbara Puccio +2
Understanding and controlling diffusion processes in complex networks is critical across domains ranging from epidemiology to information science. Here, we present ExDiff, an inter…
MuLaN: a MultiLayer Networks Alignment Algorithm
Marianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi +1
A Multilayer Network (MN) is a system consisting of several topological levels (i.e., layers) representing the interactions between the system's objects and the related interdepend…
Beyond COVID-19 Pandemic: Topology-aware optimisation of vaccination strategy for minimising virus spreading
Francesco Petrizzelli, Pietro Hiram Guzzi, Tommaso Mazza
The mitigation of an infectious disease spreading has recently gained considerable attention from the research community. It may be obtained by adopting sanitary measurements socia…
Using Dual-Network Analyser for extracting communities from Dual Networks
Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri
The representation of data and its relationships using networks is prevalent in many research fields such as computational biology, medical informatics and social networks. Recentl…
Using Network Embeddings for Improving Network Alignment
Pietro Hiram Guzzi
Network (or Graph) Alignment Algorithms aims to reveal structural similarities among graphs. In particular Local Network Alignment Algorithms (LNAs) finds local regions of similari…