Abstract

We study the phase transition from the persistence phase to the extinction phase forthe SIRS (susceptible/ infected/ refractory/ susceptible) model of diseases spreading onrandom networks. By studying a temporal evolution and synchronization parameter ofthis model on random networks, we find that, this model on random networks, shows asynchronization phase in a narrow range of very small values of clustering coecient. This ending corroborates the conclusion reached in [Phys. Rev. Lett. 86, 2909 (2001)] that,the clustering coexocient is responsible for the emergence of the synchronization phasein the small world networks. With these results and the result that we had obtainedin [Physica A 535, 122251 (2019)], we give a reasonable justiffcation the reason for theoccurrence of that behavior, at small values of the clustering coeffcient.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.