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Predicting unobserved links in incompletely observed networks

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  • Marchette, David J.
  • Priebe, Carey E.

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  • Marchette, David J. & Priebe, Carey E., 2008. "Predicting unobserved links in incompletely observed networks," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1373-1386, January.
    • Handle: RePEc:eee:csdana:v:52:y:2008:i:3:p:1373-1386
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    References listed on IDEAS

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    1. Hoff P.D. & Raftery A.E. & Handcock M.S., 2002. "Latent Space Approaches to Social Network Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1090-1098, December.
    2. Peter D. Hoff, 2005. "Bilinear Mixed-Effects Models for Dyadic Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 286-295, March.
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    Cited by:

    1. Jean-Jacques Daudin & Laurent Pierre & Corinne Vacher, 2010. "Model for Heterogeneous Random Networks Using Continuous Latent Variables and an Application to a Tree–Fungus Network," Biometrics, The International Biometric Society, vol. 66(4), pages 1043-1051, December.
    2. Castro, Luis E. & Shaikh, Nazrul I., 2018. "A particle-learning-based approach to estimate the influence matrix of online social networks," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 1-18.
    3. Matteo Cinelli & Giovanna Ferraro & Antonio Iovanella & Giulia Rotundo, 2021. "Assessing the impact of incomplete information on the resilience of financial networks," Annals of Operations Research, Springer, vol. 299(1), pages 721-745, April.

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