Network structure indexes to forecast epidemic spreading in real-world complex networks

Network structure indexes to forecast epidemic spreading in real-world complex networks

Complex networks are the preferential framework to model spreading dynamics in several real-world complex systems. Complex networks can describe the contacts between infectious individuals, responsible for disease spreading in real-world systems. Understanding how the network structure affects an ep...

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Bibliographic Details
Main Authors: Michele Bellingeri, Daniele Bevacqua, Massimiliano Turchetto, Francesco Scotognella, Roberto Alfieri, Ngoc-Kim-Khanh Nguyen, Thi Trang Le, Quang Nguyen, Davide Cassi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Physics
Subjects:
complex networks
network spreading
network epidemics
network structural characteristics
SIR (susceptible infected recovered) model
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2022.1017015/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2022.1017015/full

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