RDPG.Gen | R Documentation |
generates random networks from random dot product graph model
RDPG.Gen(n, K, directed = TRUE, avg.d = NULL)
n |
size of the network |
K |
dimension of latent space |
directed |
whether the network is directed or not |
avg.d |
average node degree of the network (in expectation) |
The network is generated according to special formulation mentioned in ECV paper.
a list of
A |
the adjacency matrix |
P |
the probability matrix |
Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li tianxili@virginia.edu
S. J. Young and E. R. Scheinerman. Random dot product graph models for social networks. In International Workshop on Algorithms and Models for the Web-Graph, pages 138-149. Springer, 2007. T. Li, E. Levina, and J. Zhu. Network cross-validation by edge sampling. Biometrika, 107(2), pp.257-276, 2020.
dt <- RDPG.Gen(n=600,K=2,directed=TRUE)
A <- dt$A
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