29 citations · 34 across the 7 of their papers we have counts for
8 papers
Beyond expressiveness in pairwise and higher-order models
Cyril Rommens, Pietro Traversa, Guilherme Ferraz de Arruda +1
The debate over pairwise and higher-order models is often framed as a contest of expressive power. This framing is misleading. A graph with arbitrary multivariate node functions ca…
The Informational Cost of Structure: Representational Complexity in Networked Dynamical Systems
Cyril Rommens, Pietro Traversa, Guilherme Ferraz de Arruda +1
How much information is required to represent a dynamical system in terms of an interaction structure and an evolution rule? We address this question using algorithmic information…
Rumor propagation on hypergraphs
Kleber A. Oliveira, Pietro Traversa, Guilherme Ferraz de Arruda +1
The rapid spread of information and rumors through social media platforms, especially in group settings, motivates the need for more sophisticated models of rumor propagation. Trad…
On the temporal resolution limits of numerical simulations in complex systems
Guilherme Ferraz de Arruda, Yamir Moreno
In this paper we formalize, using the Nyquist-Shannon theorem, a fundamental temporal resolution limit for numerical experiments in complex systems. A consequence of this limit is…
Assigning Entities to Teams as a Hypergraph Discovery Problem
Guilherme Ferraz de Arruda, Wan He, Nasimeh Heydaribeni +3
We propose a team assignment algorithm based on a hypergraph approach focusing on resilience and diffusion optimization. Specifically, our method is based on optimizing the algebra…
Contagion dynamics on higher-order networks
Guilherme Ferraz de Arruda, Alberto Aleta, Yamir Moreno
Understanding the dissemination of diseases, information, and behavior stands as a paramount research challenge in contemporary network and complex systems science. The COVID-19 pa…
Robustness and complexity of directed and weighted metabolic hypergraphs
Pietro Traversa, Guilherme Ferraz de Arruda, Alexei Vazquez +1
Metabolic networks are probably among the most challenging and important biological networks. Their study provides insight into how biological pathways work and how robust a specif…
From subcritical behavior to elusive transitions in rumor models
Guilherme Ferraz de Arruda, Lucas G. S. Jeub, Angélica S. Mata +2
Rumor and information spreading are natural processes that emerge from human-to-human interaction. Mathematically, this was explored in the popular Maki-Thompson model, where a pha…