Boguñá, MariánHoffmann Salvaña, Xavier Roderic2015-10-202015-10-202015-01https://hdl.handle.net/2445/67335Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutora: Marián Boguña EspinalMost 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.5 p.application/pdfengcc-by-nc-nd (c) Hoffmann Salvaña, 2015http://creativecommons.org/licenses/by-nc-nd/3.0/es/EpidèmiesProcessos de difusióTreballs de fi de grauEpidemicsDiffusion processesBachelor's thesesinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess