Anfray, Valentin Nicolas, Alexandre
Published in
Journal of Physics: Complexity
The Totally Asymmetric Simple Exclusion Process (TASEP) is a paradigm of out-of-equilibrium Statistical Physics that serves as a simplistic model for one-way vehicular traffic. Since traffic is perturbed by cars cruising for parking in many metropolises, we introduce a variant of TASEP, dubbed SFP, in which particles are initially cruising at a slo...
Rodgers, Niall Tiňo, Peter Johnson, Samuel
Published in
Journal of Physics: Complexity
Growing attention has been brought to the fact that many real directed networks exhibit hierarchy and directionality as measured through techniques like trophic analysis and non-normality. We propose a simple growing network model where the probability of connecting to a node is defined by a preferential attachment mechanism based on degree and the...
Lohmann, Johannes Wuyts, Bert Ditlevsen, Peter D Ashwin, Peter
Published in
Journal of Physics: Complexity
It is well-known that even for fairly simple deterministic nonlinear systems, exact prediction of future state is, on average, impossible beyond some small multiple of the Lyapunov time that quantifies the rate of separation of trajectories within an attractor. Nonetheless, it may be possible to find a physical measure that is the distribution of a...
Józsa, Máté Ercsey-Ravasz, Mária Zsolt I Lázár,
Published in
Journal of Physics: Complexity
The exponential distance rule (EDR) is a well-documented phenomenon suggesting that the distribution of axonal lengths in the brain follows an exponential decay pattern. Nevertheless, individual-level axon data supporting this assertion is limited to Drosophila and mice, while inter-region connectome data is also accessible for macaques, marmosets,...
Roost, Michelle Devriendt, Karel Zucal, Giulio Jost, Jürgen
Published in
Journal of Physics: Complexity
Discrete curvatures are quantities associated to the nodes and edges of a graph that reflect the local geometry around them. These curvatures have a rich mathematical theory and they have recently found success as a tool to analyze networks across a wide range of domains. In this work, we consider the problem of constructing graphs with a prescribe...
Fesser, Lukas Serrano de Haro Iváñez, Sergio Devriendt, Karel Weber, Melanie Lambiotte, Renaud
Published in
Journal of Physics: Complexity
The notion of curvature on graphs has recently gained traction in the networks community, with the Ollivier–Ricci curvature (ORC) in particular being used for several tasks in network analysis, such as community detection. In this work, we choose a different approach and study augmentations of the discretization of the Ricci curvature proposed by F...
Rozum, Jordan C Rocha, Luis M
Published in
Journal of Physics: Complexity
Minimum spanning trees and forests are powerful sparsification techniques that remove cycles from weighted graphs to minimize total edge weight while preserving node reachability, with applications in computer science, network science, and graph theory. Despite their utility and ubiquity, they have several limitations, including that they are only ...
Albanese, Federico Feuerstein, Esteban Balenzuela, Pablo
Published in
Journal of Physics: Complexity
Individuals engaging on social media often tend to establish online communities where interactions predominantly occur among like-minded peers. While considerable efforts have been devoted to studying and delineating these communities, there has been limited attention directed towards individuals who diverge from these patterns. In this study, we e...
Suswaram, Megha Bhat, Uttam Yeakel, Justin D
Published in
Journal of Physics: Complexity
Acoustic signaling is employed by many sexually reproducing species to select for mates and enhance fitness. However, signaling in dense populations can create an auditory background, or chorus, which may interfere with a signal receiver’s phonotactic selectivity, or the ability to distinguish individual signals. Feedback between the strength of an...
Alves, Felippe Saad, David
Published in
Journal of Physics: Complexity
We study vaccine budget-sharing strategies in the SIR (Susceptible-Infected-Recovered) model given a structured community network to investigate the benefit of sharing vaccine across communities. The network studied comprises two communities, one of which controls vaccine budget and may share it with the other. Different scenarios are considered re...
