Heat kernel based community detection

@inproceedings{Kloster2014HeatKB,
  title={Heat kernel based community detection},
  author={Kyle Kloster and David F. Gleich},
  booktitle={KDD},
  year={2014}
}
The heat kernel is a type of graph diffusion that, like the much-used personalized PageRank diffusion, is useful in identifying a community nearby a starting seed node. We present the first deterministic, local algorithm to compute this diffusion and use that algorithm to study the communities that it produces. Our algorithm is formally a relaxation method for solving a linear system to estimate the matrix exponential in a degree-weighted norm. We prove that this algorithm stays localized in a… CONTINUE READING
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