activity
20032024
most citedVector Opinion Dynamics in a Bounded Confidence Consensus Model

184 citations · 1.9k across the 78 of their papers we have counts for

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Showing physics.soc-phShow all

29 papers · 1 filter

physics.soc-ph2024★ 3 cited

Early Career Wins and Tournament Prestige Characterize Tennis Players' Trajectories

Chiara Zappalà, Sandro Sousa, Tiago Cunha +3

Success in sports is a complex phenomenon that has only garnered limited research attention. In particular, we lack a deep scientific understanding of success in sports like tennis…

physics.soc-ph2023★ 14 cited

The Paradox of Talent: how Chance affects Success in Tennis Tournaments

Chiara Zappalá, Alessio Emanuele Biondo, Alessandro Pluchino +1

Individual sports competitions provide a natural setting for examining the relative importance of talent and luck/chance in achieving success. The belief that success is primarily…

physics.soc-ph2022

Objective and perceived risk in seismic vulnerability assessment at urban scale

Eliana Fischer, Alessio Emanuele Biondo, Annalisa Greco +3

The assessment of seismic risk in urban areas with high seismicity is certainly one of the most important problems that territorial managers have to face. A reliable evaluation of…

physics.soc-ph2021

Exploring the impact of mobility restrictions on the COVID-19 spreading through an agent-based approach

Martina Fazio, Alessandro Pluchino, Giuseppe Inturri +3

Mobility restriction is considered one of the main policies to contain COVID-10 spreading. However, there are multiple ways to reduce mobility via differentiated restrictions, and…

physics.soc-ph2020

A dynamic model of Tax Evasion

Alessio Emanuele Biondo, Giulio Burgio, Alessandro Pluchino +1

In this paper we present a simplified model of a proportional taxation system where citizens decide whether to pay taxes or evade them. We initially derive a dynamic equation for t…

physics.soc-ph2020★ 56 cited

A Novel Methodology for Epidemic Risk Assessment of COVID-19 outbreak

A. Pluchino, A. E. Biondo, N. Giuffrida +6

We propose a novel data-driven framework for assessing the a-priori epidemic risk of a geographical area and for identifying high-risk areas within a country. Our risk index is eva…