activity
19952022
most citedRisk perception in epidemic modeling

157 citations · 1.1k across the 81 of their papers we have counts for

collaborators

83 papers

physics.soc-ph2022

A simple model of knowledge percolation

Franco Bagnoli, Guido de Bonfioli Cavalcabo'

We investigate how knowledge percolates and clusters in a given knowledge space. We introduce a simple model of knowledge organization in which each contribution spans a certain nu…

cond-mat.stat-mech2021

Prestrain-induced contraction in 1D random elastic chains

Ihusan Adam, Franco Bagnoli, Duccio Fanelli +2

Prestrained elastic networks arise in a number of biological and technological systems ranging from the cytoskeleton of cells to tensegrity structures. To understand the response o…

cs.NI2021★ 10 cited

Cyber Resilience in IoT network: Methodology and example of assessment through epidemic spreading

Emanuele Bellini, Franco Bagnoli, Alexander A. Ganin +1

Cyber Resilience is an important property of complex systems and is important consideration in developing specific IoT applications. This work aims at introducing a novel approach…

physics.soc-ph2020★ 4 cited

Intransitiveness in the Penney Game and in Random Walks on rings, networks, communities and cities

Alberto Baldi, Franco Bagnoli

The concept of intransitiveness for games, which is the condition for which there is no first-player winning strategy can arise surprisingly, as happens in the Penney game, an exte…

nlin.CG2019★ 9 cited

A Graph Theory Approach for Regional Controllability of Boolean Cellular Automata

Sara Dridi, Samira El Yacoubi, Franco Bagnoli +1

Controllability is one of the central concepts of modern control theory that allows a good understanding of a system's behaviour. It consists in constraining a system to reach the…

physics.soc-ph2018★ 9 cited

Humans make best use of social heuristics when confronting hard problems in large groups

Federica Stefanelli, Enrico Imbimbo, Daniele Vilone +3

We report the results of a game-theoretic experiment with human players who solve the problems of increasing complexity by cooperating in groups of increasing size. Our experimenta…