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SIR epidemics on a scale-free spatial nested modular network

  • Alberto Gandolfi (a1) and Lorenzo Cecconi (a2)

Abstract

We propose a class of random scale-free spatial networks with nested community structures called SHEM and analyze Reed–Frost epidemics with community related independent transmissions. We show that in a specific example of the SHEM the epidemic threshold may be trivial or not as a function of the relation among community sizes, distribution of the number of communities, and transmission rates.

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Corresponding author

* Postal address: Dipartimento di Statistica, Informatica, Applicazioni G. Parenti, Università di Firenze, Viale Morgagni 59, 50134 Firenze, Italy. Email address: l.cecconi@disia.unifi.it
** Postal address: Dipartimento di Matematica e Informatica U. Dini, Università di Firenze, Viale Morgagni 67/A, 50134 Firenze, Italy. Email address: gandolfi@math.unifi.it

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