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Cooperative epidemic spreading in complex networks

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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutora: Marián Boguña Espinal

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Most epidemic spreading models assume memoryless systems and statistically independent infections. Nevertheless, many real-life cases are manifestly time-sensitive and may be strongly correlated. We study the effect of non-Markovian stochastic dynamics on the SIS model, in random and scale-free networks, and propose a novel microscopic description to account for cooperation. Initial
exploratory simulations yield promising results, calling for further research.

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Cooperative epidemic spreading in complex networks