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Authors: Alfredo Cuzzocrea 1 ; 2 and Edoardo Fadda 3 ; 4

Affiliations: 1 iDEA Lab, University of Calabria, Rende, Italy ; 2 LORIA, University of Lorraine, Nancy, France ; 3 DISMA, Politecnico di Torino, Torino, Italy ; 4 ISIRES, Torino, Italy

Keyword(s): Diffusion Process, Network Dynamics.

Abstract: How a virus spread on a network is a really important topic and even more important is to classify the danger of a virus. With this goal in mind, we investigate the characteristics that define the most deadly virus. Moreover, we aim to provide a simplified discrete-time simulation, described by few parameters, as a straightforward alternative to more complex models of diseases diffusion. The simulation is used to model the spread of the infection, and the obtained results are then analyzed to understand how the virus’ behavior varies by changing its characteristics and the network topology.

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Paper citation in several formats:
Cuzzocrea, A. and Fadda, E. (2022). Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 187-193. DOI: 10.5220/0011055900003179

@conference{iceis22,
author={Alfredo Cuzzocrea. and Edoardo Fadda.},
title={Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2022},
pages={187-193},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011055900003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19
SN - 978-989-758-569-2
IS - 2184-4992
AU - Cuzzocrea, A.
AU - Fadda, E.
PY - 2022
SP - 187
EP - 193
DO - 10.5220/0011055900003179
PB - SciTePress

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