Abstract
Epidemic spread, rumor, and synchronization models are fundamental to the further understanding of dynamic processes. Most models developed on complex networks consider only static structures, where connections are maintained over time. In recent years, models of epidemic propagation in temporal networks have been proposed. In these networks, the connections are not static, but vary duri…