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Shadows of the susceptible-infectious-susceptible immortality transition in small networks
Stockholm University, Faculty of Social Sciences, Department of Sociology. Umeå University, Sweden; Sungkyunkwan University, South Korea.
Number of Authors: 1
2015 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, E-ISSN 1550-2376, Vol. 92, no 1, 012804Article in journal (Refereed) Published
Abstract [en]

Much of the research on the behavior of the SIS model on networks has concerned the infinite size limit; in particular the phase transition between a state where outbreaks can reach a finite fraction of the population, and a state where only a finite number would be infected. For finite networks, there is also a dynamic transition-the immortality transition-when the per-contact transmission probability lambda reaches 1. If lambda < 1, the probability that an outbreak will survive by an observation time t tends to zero as t --> infinity; if lambda = 1, this probability is 1. We show that treating lambda = 1 as a critical point predicts the lambda dependence of the survival probability also for more moderate lambda values. The exponent, however, depends on the underlying network. This fact could, by measuring how a vertex's deletion changes the exponent, be used to evaluate the role of a vertex in the outbreak. Our work also confirms an extremely clear separation between the early die-off (from the outbreak failing to take hold in the population) and the later extinctions (corresponding to rare stochastic events of several consecutive transmission events failing to occur).

Place, publisher, year, edition, pages
2015. Vol. 92, no 1, 012804
National Category
Physical Sciences Mathematics
URN: urn:nbn:se:su:diva-119292DOI: 10.1103/PhysRevE.92.012804ISI: 000357640900006OAI: diva2:844242
Available from: 2015-08-04 Created: 2015-08-03 Last updated: 2015-08-04Bibliographically approved

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