269 citations · 275 across the 12 of their papers we have counts for
13 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…
Scale invariance and statistical significance in complex weighted networks
Filipi N. Silva, Sadamori Kojaku, Alessandro Flammini +2
Most networks encountered in nature, society, and technology have weighted edges, representing the strength of the interaction/association between their vertices. Randomizing the s…
The Value of Patience in Online Grocery Shopping
Javad Eshtiyagh, Pei Zhao, Federico Librino +6
Since the COVID-19 pandemic, online grocery shopping has rapidly reshaped consumer behavior worldwide, fueled by ever-faster delivery promises aimed at maximizing convenience. Yet,…
Toward a Physics of Deep Learning and Brains
Arsham Ghavasieh, Meritxell Vila-Minana, Akanksha Khurd +3
Deep neural networks and brains both learn and share superficial similarities: processing nodes are likened to neurons and adjustable weights are likened to modifiable synapses. Bu…
Functional mesoscale organization of complex networks
Arsham Ghavasieh, Satyaki Sikdar, Manlio De Domenico +1
The network density matrix (NDM) framework, enabling an information-theoretic and multiscale treatment of network flow, has been gaining momentum over the last decade. Benefiting f…
Task complexity shapes internal representations and robustness in neural networks
Robert Jankowski, Filippo Radicchi, M. Ángeles Serrano +2
Neural networks excel across a wide range of tasks, yet remain black boxes. In particular, how their internal representations are shaped by the complexity of the input data and the…
Modeling individual attention dynamics on online social media
Jaume Ojer, Filippo Radicchi, Santo Fortunato +2
In the attention economy, understanding how individuals manage limited attention is critical. We introduce a simple model describing the decay of a user's engagement when facing mu…
Characterizing the community structure of complex networks
Andrea Lancichinetti, Mikko Kivela, Jari Saramaki +1
Community structure is one of the key properties of complex networks and plays a crucial role in their topology and function. While an impressive amount of work has been done on th…