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A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
Networks are landmarks of many complex phenomena where interweaving interactions between different agents transform simple local rule-sets into nonlinear emergent behaviors.
Modeling community structure and topics in dynamic text networks
The last decade has seen great progress in both dynamic network modeling and topic modeling.
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