Identifying Important Nodes in Heterogenous Networks

Abstract

This is a position paper that presents a new approach to identifying important nodes or entities in a complex heterogeneous network. We provide a novel definition of an importance score based on a statistical model: An individual is important to the extent that including an individual explicitly in the model improves the data fit of the model more than it… (More)

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