Adapting Stochastic Block Models to Power-Law Degree Distributions

Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao

Open source

DOI: 10.1109/tcyb.2017.2783325
Published: 2019-02
Container: IEEE Transactions on Cybernetics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tcyb.2017.2783325,
  title = {Adapting Stochastic Block Models to Power-Law Degree Distributions},
  author = {Maoying Qiao and Jun Yu and Wei Bian and Qiang Li and Dacheng Tao},
  year = {2019},
  journal = {IEEE Transactions on Cybernetics},
  doi = {10.1109/tcyb.2017.2783325},
  url = {https://doi.org/10.1109/tcyb.2017.2783325}
}

RIS

TY  - JOUR
TI  - Adapting Stochastic Block Models to Power-Law Degree Distributions
AU  - Maoying Qiao
AU  - Jun Yu
AU  - Wei Bian
AU  - Qiang Li
AU  - Dacheng Tao
PY  - 2019
JO  - IEEE Transactions on Cybernetics
DO  - 10.1109/tcyb.2017.2783325
UR  - https://doi.org/10.1109/tcyb.2017.2783325
ER  -

APA

Qiao, M., Yu, J., Bian, W., Li, Q., & Tao, D. (2019). Adapting Stochastic Block Models to Power-Law Degree Distributions. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2017.2783325

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crossref · retrieved 2026-09-25T10:30:45.496Z