Computer scientists develop model that explains how collective scenarios such as diseases may proceed

It is winter, the typical time for colds. What if you could simulate how the disease may spread? At the Cluster of Excellence Collective Behavior at the University of Konstanz, Julia Klein, a doctoral student in computer science, and colleagues investigated how using strict, rule-based methods can help better estimate the parameters for Markov chains. The findings are published in the journal PLOS ONE.

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