4 citations · 6 across the 11 of their papers we have counts for
12 papers
Heuristic and exact modularity optimization with size-constrained communities
Filipi N. Silva, Samin Aref, Vincent Traag +1
When searching for communities in networks, domain experts may have some prior expectations about the size of communities. Yet, community detection methods normally do not optimize…
Robustness in sparse artificial neural networks trained with adaptive topology
Bendegúz Sulyok, Gergely Palla, Filippo Radicchi +1
We investigate the robustness of sparse artificial neural networks trained with adaptive topology. We focus on a simple yet effective architecture consisting of three sparse layers…
Modeling plant disease spread via high-resolution human mobility networks
Varun K. Rao, Ryan Higgs, Hautahi Kingi +3
Human mobility plays a crucial role in the spread of human diseases, but is rarely quantified in plant disease epidemics. To address this gap, we integrate a unique, high-resolutio…
Graph energy as a measure of community detectability in networks
Lucas Böttcher, Mason A. Porter, Santo Fortunato
A key challenge in network science is the detection of communities, which are sets of nodes in a network that are densely connected internally but sparsely connected to the rest of…
Multilayer network science: theory, methods, and applications
Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14
Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…
Detectability threshold in weighted modular networks
Filippo Radicchi, Filipi N. Silva, Alessandro Flammini +2
We study the necessary condition to detect, by means of spectral modularity optimization, the ground-truth partition in networks generated according to the weighted planted-partiti…