Epidemic spreading dynamics on complex networks with adaptive social-support

Rong Zhou and Qingchu Wu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 778-787

Abstract: Using conditional quenched mean-field (cQMF) method, we develop a continuous-time susceptible–infected–susceptible epidemic model on quenched complex networks with combined self-recovery and social support from healthy network nodes. We determined the lower bound of the epidemic threshold which was found to depend directly on social support α. Our analytical results of the generalized cQMF model were in good agreement with numerical simulations on Erdő s–Rényi (ER) random graphs and different scale-free (SF) network configurations. We observed an interaction effect between network type (ER vs. SF) and social support level (α), finding a significant difference between the final epidemic sizes observed on ER versus SF networks when α was large, but not when α level was small or zero. Our findings suggest that social support from non-infected individuals contributes substantially towards the inhibition of an epidemic outbreak, and that the type of network structure plays a role in determining the final epidemic size but only when the social support level is sufficiently high.

Keywords: Complex networks; Epidemic spreading; Susceptible–infected–susceptible epidemics; Conditional quenched mean-field approach; Social-support; Adaptive networks (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119303425
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:525:y:2019:i:c:p:778-787

DOI: 10.1016/j.physa.2019.03.107

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().