Nonmassive immunization to contain spreading on complex networks

Guilherme S. Costa and Silvio C. Ferreira
Phys. Rev. E 101, 022311 – Published 19 February 2020

Abstract

Optimal strategies for epidemic containment are focused on dismantling the contact network through effective immunization with minimal costs. However, network fragmentation is seldom accessible in practice and may present extreme side effects. In this work, we investigate the epidemic containment immunizing population fractions far below the percolation threshold. We report that moderate and weakly supervised immunizations can lead to finite epidemic thresholds of the susceptible-infected-susceptible model on scale-free networks by changing the nature of the transition from a specific motif to a collectively driven process. Both pruning of efficient spreaders and increasing of their mutual separation are necessary for a collective activation. Fractions of immunized vertices needed to eradicate the epidemics which are much smaller than the percolation thresholds were observed for a broad spectrum of real networks considering targeted or acquaintance immunization strategies. Our work contributes for the construction of optimal containment, preserving network functionality through nonmassive and viable immunization strategies.

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  • Received 23 October 2019
  • Accepted 30 January 2020

DOI:https://doi.org/10.1103/PhysRevE.101.022311

©2020 American Physical Society

Physics Subject Headings (PhySH)

NetworksStatistical Physics & Thermodynamics

Authors & Affiliations

Guilherme S. Costa1 and Silvio C. Ferreira1,2

  • 1Departamento de Física, Universidade Federal de Viçosa, 36570-900 Viçosa, Minas Gerais, Brazil
  • 2National Institute of Science and Technology for Complex Systems, 22290-180, Rio de Janeiro, Brazil

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Issue

Vol. 101, Iss. 2 — February 2020

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