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Modeling graphs using dot product representations

  • Published:2009-06-10 Issue:1 Volume:25 Page:1-16
  • ISSN:0943-4062
  • Container-title:Computational Statistics
  • language:en
  • Short-container-title:Comput Stat

Author:

Scheinerman Edward R.,Tucker Kimberly

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference8 articles.

1. Diehl P (2001) Correlates of war. http://www.correlatesofwar.org

2. Gibler DM, Sarkees MR (2004) Measuring alliances: the correlates of war formal interstate alliance dataset, 1816-2000. J Peace Res 41(2): 211–222

3. Golub GH, van Loan CF (1996) Matrix computations. Johns Hopkins University Press, Baltimore

4. Grossman J (1996) The Erdős number project. http://www.oakland.edu/enp

5. Hoff PD, Raftery AE, Handcock MS (2002) Latent space approaches to social network analysis. J Am Stat Assoc 97(460): 1090–1098

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2. An Efficient Algorithm to Compute Dot Product Dimension of Some Outerplanar Graphs;International Journal of Foundations of Computer Science;2024-07-12

3. Gradient-Based Spectral Embeddings of Random Dot Product Graphs;IEEE Transactions on Signal and Information Processing over Networks;2024

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5. Phase transition in noisy high-dimensional random geometric graphs;Electronic Journal of Statistics;2023-01-01
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