“…These advances are particularly evident in the area of infectious disease forecasting where current models now incorporate realistic mobility and interaction data of human populations [1,2,3,4,5,6]. Analogously, social contagion phenomena that were initially modeled using the same mathematical framework as epidemics [7,8,9,10] are now described by complex contagion models [11,12,13] aimed at specifically characterizing processes such as the establishment of shared social norms and beliefs [14,15,16], the diffusion of knowledge and information [17,18], and the emergence of political consensus [19]. These models consider complex factors such as reinforcement and threshold mechanisms [20,21,22,23] and the loss of interest mediated by social interactions [24,25,26].…”