Abstract:Spreading processes, e.g. epidemics, wildfires and rumors, are often modeled on static networks. However, their underlying networks structures, e.g changing contacts in social networks, different weather forecasts for wildfires, are due to ever changing circumstances inherently time-varying in nature. In this paper, we therefore, propose an optimization framework for sparse resource allocation for control of spreading processes over temporal networks with known connectivity patterns. We use convex optimization… Show more
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