A spectral method for community detection in moderately sparse degree-corrected stochastic block models. Gulikers, L., Lelarge, M., & Massoulié, L. Advances in Applied Probability, 49(3):686–721, September, 2017.
A spectral method for community detection in moderately sparse degree-corrected stochastic block models [link]Paper  doi  bibtex   
@Article{Gulikers:2017:SMC,
  author =       "Lennart Gulikers and Marc Lelarge and Laurent
                 Massouli{\'e}",
  title =        "A spectral method for community detection in
                 moderately sparse degree-corrected stochastic block
                 models",
  journal =      j-ADV-APPL-PROB,
  volume =       "49",
  number =       "3",
  pages =        "686--721",
  month =        sep,
  year =         "2017",
  CODEN =        "AAPBBD",
  DOI =          "https://doi.org/10.1017/apr.2017.18",
  ISSN =         "0001-8678 (print), 1475-6064 (electronic)",
  ISSN-L =       "0001-8678",
  bibdate =      "Sat Mar 16 08:55:03 MDT 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/advapplprob.bib",
  URL =          "https://www.cambridge.org/core/journals/advances-in-applied-probability/article/spectral-method-for-community-detection-in-moderately-sparse-degreecorrected-stochastic-block-models/FAF2E125F2D2889CBEFDFA644BA5F57F",
  acknowledgement = ack-nhfb,
  ajournal =     "Adv. Appl. Probab.",
  fjournal =     "Advances in Applied Probability",
  journal-URL =  "https://www.cambridge.org/core/journals/advances-in-applied-probability",
  onlinedate =   "08 September 2017",
}

Downloads: 0