Abstract: Random graph models play a major role in the analysis of complex systems: they can be used to randomize an observed network, to measure the significance of empirical patterns, or to generate synthetic networks tuned upon the characteristics of a given population. In this talk, I will review a few approaches to the modeling of complex networks and describe their applications in social media analysis and epidemiology
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