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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > The spread of infections on evolving scale-free networks

## The spread of infections on evolving scale-free networksAdd to your list(s) Download to your calendar using vCal - Peter MÃ¶rters (University of Bath)
- Thursday 15 December 2016, 14:45-15:30
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact INI IT. SNAW04 - Dynamic networks We study the contact process on a class of evolving scale-free networks, where each node updates its connections at independent random times. We give a rigorous mathematical proof that there is a transition between a phase where for all infection rates the infection survives for a long time, at least exponential in the network size, and a phase where for sufficiently small infection rates extinction occurs quickly, at most polynomially in the network size. The phase transition occurs when the power-law exponent crosses the value four. This behaviour is in contrast to that of the contact process on the corresponding static model, where there is no phase transition, as well as that of a classical mean-field approximation, which has a phase transition at power-law exponent three. The new observation behind our result is that temporal variability of networks can simultaneously increase the rate at which the infection spreads in the network, and decrease the time which the infection spends in metastable states. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
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