output
20032026
most citedFinding statistically significant communities in networks

1.2k citations

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51 papers · 1 filter

physics.soc-ph2024★ 2 cited

Complete aging in the noisy voter model enhances consensus formation

Jaume Llabrés, Sara Oliver-Bonafoux, Celia Anteneodo +1

We investigate the effects of aging in the noisy voter model considering that the probability to change states decays algebraically with age , defined as the time elapsed since…

q-bio.QM2024★ 1 cited

Inferring Leader-Follower Behavior from Presence Data in the Marine Environment: A Case Study on Reef Manta Rays

Juan Fernández-Gracia, Jorge P. Rodríguez, Lauren R. Peel +3

Social interactions are fundamental in animal groups, including humans, and can take various forms, such as competition, cooperation, or kinship. Understanding these interactions i…

quant-ph2024

Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem

Francesco Aldo Venturelli, Sreetama Das, Filippo Caruso

The quantum approximate optimization algorithm (QAOA) is a variational quantum algorithm (VQA) ideal for noisy intermediate-scale quantum (NISQ) processors, and is highly successfu…

quant-ph2024

Knowledge-dependent optimal Gaussian strategies for phase estimation

Ricard Ravell Rodríguez, Simon Morelli

When estimating an unknown phase rotation of a continuous-variable system with homodyne detection, the optimal probe state strongly depends on the value of the estimated parameter.…

physics.soc-ph2024★ 1 cited

Complex networks approach to curriculum analysis and subject integration: a case study on Physics and Mathematics

Paula Tuzón, Antoni Salvà Salvà, Juan Fernández-Gracia

This paper presents a methodological approach based on the use of complex networks to analyze the structure and content of curricula. We analyze the concept network built from the…

cond-mat.stat-mech2024

Stochastic field effects in a two-state system: symmetry breaking and symmetry restoring

Sara Oliver-Bonafoux, Raul Toral, Amitabha Chakrabarti

We study the Ising model under a time-varying, but spatially homogeneous, Gaussian random magnetic field. In the Monte Carlo simulations, we go beyond the standard analysis of the…