Spectral Perturbation of Small-World Networks with Application to Brain Disease Detection

Abstract

In this project, I am trying to apply this model to classify networks generated from human brain. Since small-world networks are essentially random graphs whose adjacency matrices are random matrices, I first study the spectrum of them. Next, I assume that a sampled brain network is perturbed version of an averaged network: either that over people with… (More)

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Cite this paper

@inproceedings{Hu2012SpectralPO, title={Spectral Perturbation of Small-World Networks with Application to Brain Disease Detection}, author={Chenhui Hu}, year={2012} }