Title: Contagion Dynamics on Single, Multilayer, and Higher-Order Networks
Abstract: Modern network science has greatly contributed to our understanding of many processes in diverse fields of science. Arguably, contagion dynamics -including network epidemiology- is the area in which network concepts have had a bigger practical impact. Nowadays, we are able to model how diseases unfold and spread with unprecedented precision, which also makes it possible to analyze other spreading-like processes, such as social contagion. In this talk, we revise this area of research by discussing how the modeling of spreading processes has evolved in the last two decades. We start by analyzing contagion dynamics in single populations that are described by different network topologies. Next, we discuss cases in which a multilayer approach is needed. Finally, we introduce contagion dynamics in higher-order networks, which shows a much rich phase space for the dynamics of the system. We round off the talk by discussing what are the challenges that remain for the future.
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