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A project to use various network community detection methods on the Human-Symptom Disease Network as created by Zhou et al. in 2014

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Evaluating Community Detection Methods for the Human Symtoms-Disease Network

Resources:

D.B. Larremore, A. Clauset and A.Z. Jacobs, "Efficiently inferring community structure in bipartite networks." Phys. Rev. E 90, 012805 (2014).

Community Detection in Bipartite Networks with Stochastic Blockmodels, Tzu-Chi Yen and Daniel B. Larremore, Physical Review E 102, 032309, (2020).

L. Jostins, et al. “Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease”. Nature 491, 119–124 (2012).

L. Peel, D. B. Larremore, and A. Clauset, "The ground truth about metadata and community detection in networks." Science Advances 3(5), e1602548 (2017).

X. Zhou, J. Menche, and AL. Barabási, “Human symptoms–disease network”. Nat Commun 5, 4212 (2014). https://doi.org/10.1038/ncomms5212

Aaron Clauset, M.E.J. Newman, Cristopher Moore Finding community structure in very large networks Phys. Rev. E, 70 (6) (2004), Article 066111, 10.1103/PhysRevE.70.066111

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A project to use various network community detection methods on the Human-Symptom Disease Network as created by Zhou et al. in 2014

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