Modularity-like objective function in annotated networks

Abstract

We ascertain the modularity-like objective function whose optimization is equivalent to the maximum likelihood in annotated networks. We demonstrate that the modularity-like objective function is a linear combination of modularity and conditional entropy. In contrast with statistical inference methods, in our method, the influence of the metadata is… (More)

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Cite this paper

@inproceedings{Xie2017ModularitylikeOF, title={Modularity-like objective function in annotated networks}, author={Jia-Rong Xie and Bing-Hong Wang}, year={2017} }