Analytic models for SIR disease spread on random spatial networks | Zendy

John Lang | Zendy; Hans De Sterck | Zendy; Jamieson L. Kaiser | Zendy; Joel C. Miller | Zendy

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Analytic models for SIR disease spread on random spatial networks

Author(s) -

John Lang,

Hans De Sterck,

Jamieson L. Kaiser,

Joel C. Miller

Publication year - 2018

Publication title -

journal of complex networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.555

H-Index - 23

eISSN - 2051-1329

pISSN - 2051-1310

DOI - 10.1093/comnet/cny004

Subject(s) - computer science , statistical physics , range (aeronautics) , epidemic model , population , node (physics) , spatial ecology , physics , ecology , materials science , demography , quantum mechanics , sociology , composite material , biology

We study the propagation of susceptible-infectious-recovered (SIR) disease on random networks with spatial structure. We consider random spatial networks (RSNs) with heterogeneous degrees, where any two nodes are connected by an edge with a probability that depends on their spatial distance and expected degrees. This is a natural spatial extension of the well-known Erdős–Rényi and Chung–Lu random ...

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