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Hypothesis testing for automated community detection in networks

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  • Peter J. Bickel
  • Purnamrita Sarkar

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  • Peter J. Bickel & Purnamrita Sarkar, 2016. "Hypothesis testing for automated community detection in networks," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 253-273, January.
    • Handle: RePEc:bla:jorssb:v:78:y:2016:i:1:p:253-273
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    File URL: http://hdl.handle.net/10.1111/rssb.12117
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    References listed on IDEAS

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    1. Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
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    Cited by:

    1. Mingao Yuan, 2024. "On the Randić index and its variants of network data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(1), pages 155-179, March.
    2. Wang, Tingting & Wang, Zhen, 2024. "A community scale test for node affiliation based on network sampling and wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    3. Chihiro Watanabe & Taiji Suzuki, 2023. "A goodness-of-fit test on the number of biclusters in a relational data matrix," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(6), pages 979-1009, December.
    4. Mingao Yuan, 2024. "On the Rényi index of random graphs," Statistical Papers, Springer, vol. 65(3), pages 1773-1803, May.
    5. Mingyang Ren & Sanguo Zhang & Junhui Wang, 2023. "Consistent estimation of the number of communities via regularized network embedding," Biometrics, The International Biometric Society, vol. 79(3), pages 2404-2416, September.
    6. Anirban Dasgupta & Srijan Sengupta, 2022. "Scalable Estimation of Epidemic Thresholds via Node Sampling," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 321-344, June.
    7. Zhang, Yue & Yuan, Mingao, 2020. "Nonreconstruction of high-dimensional stochastic block model with bounded degree," Statistics & Probability Letters, Elsevier, vol. 158(C).
    8. Neil Hwang & Jiarui Xu & Shirshendu Chatterjee & Sharmodeep Bhattacharyya, 2022. "The Bethe Hessian and Information Theoretic Approaches for Online Change-Point Detection in Network Data," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 283-320, June.
    9. Mingao Yuan & Fan Yang & Zuofeng Shang, 2022. "Hypothesis testing in sparse weighted stochastic block model," Statistical Papers, Springer, vol. 63(4), pages 1051-1073, August.
    10. Jianqing Fan & Yingying Fan & Xiao Han & Jinchi Lv, 2022. "SIMPLE: Statistical inference on membership profiles in large networks," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 630-653, April.
    11. Wu, Qianyong & Hu, Jiang, 2024. "Two-sample test of stochastic block models," Computational Statistics & Data Analysis, Elsevier, vol. 192(C).
    12. Watanabe, Chihiro & Suzuki, Taiji, 2021. "Goodness-of-fit test for latent block models," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    13. Wu, Qianyong & Hu, Jiang, 2024. "A spectral based goodness-of-fit test for stochastic block models," Statistics & Probability Letters, Elsevier, vol. 209(C).

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