Mechanisms of recoverable prevalence and extinction of viruses on linearly growing scale-free networks

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dc.creatorHayashi, Yukio
dc.date2003-07-07
dc.date.accessioned2026-07-07T02:52:13Z
dc.date.available2026-07-07T02:52:13Z
dc.descriptionWe investigate mechanisms of the typically observed recoverable prevalence in epidemic spreading. Assuming the time-independent connectivity correlations, we analyze the dynamics of spreading on linearly growing scale-free (SF) networks, and derive the extinction condition related to the rates of network growth, infection, and immunization of viruses. The behavior is consistent with the previous results for SF networks by a mean-field approximation without connectivity correlations. In particular, it is suggested that the growing must be stopped to prevent the spreading of infection. This insight helps to understand the spreading phenomena on communication or social networks.
dc.description4 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0307135
dc.identifierhttp://arxiv.org/abs/cond-mat/0307135
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/21758
dc.subjectStatistical Mechanics
dc.subjectQuantitative Biology
dc.titleMechanisms of recoverable prevalence and extinction of viruses on linearly growing scale-free networks
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