The impact of information dissemination strategies to epidemic spreading on complex networks

Yonglei Lu and Jing Liu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, issue C

Abstract: Epidemic spreading is one of the popular dynamics on complex networks. The classic SIR (susceptible–infected–recovered) model describes the spreading process of infections. The information dissemination is also considered in many works because people’s reactions to the outbreak of epidemic influence the spreading. In this work, we analyze how the operations on information dissemination affect the infected individuals as well as the spreading conditions of epidemics. We propose an SIR-A (susceptible–infected–recovered–active)model to map the infection and information dissemination to a double-layer network based on the assumption that the community size and individual’s awareness may have an impact on the infection rate (β) between two individuals. We improve the widely used index infected ratio (i(t)) and propose the spreading risk (RSP(t)) to evaluate the epidemic spreading process. Then with the inspiration of immunization strategies, we propose three information dissemination strategies, which are random, targeted and path-based ones. They are used to speed up the information dissemination to control the epidemic spreading. By considering two measures namely speak value (Pv) and peak time (Pt) of RSP(t), we compare the efficiency of these three strategies. The experimental results show that any one of these strategies can reduce Pv and delay the coming of Pt effectively, especially the path-based strategy in the situation of scale-free networks with low μ.

Keywords: Epidemic spreading; Information dissemination; Spreading risk; Dissemination strategy; Complex network (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119305321
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:536:y:2019:i:c:s0378437119305321

DOI: 10.1016/j.physa.2019.04.156

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 ().