Description Usage Arguments Value References See Also Examples
Compute the distribution of the network following McCormick and Zheng (2015) and Breza et al. (2020).
1 | sim.dnetwork(nu, d, zeta, z)
|
nu |
is the vector of gregariousness. |
d |
is the vector of degrees. |
zeta |
is a scale parameter that captures the influence of the latent positions on the link probabilities. |
z |
is a matrix where each row is a spherical coordinate. |
a matrix of linking probabilities.
Breza, E., Chandrasekhar, A. G., McCormick, T. H., & Pan, M. (2020). Using aggregated relational data to feasibly identify network structure without network data. American Economic Review, Forthcoming https://arxiv.org/abs/1703.04157
McCormick, T. H., & Zheng, T. (2015). Latent surface models for networks using Aggregated Relational Data. Journal of the American Statistical Association, 110(512), 1684-1695. https://www.tandfonline.com/doi/abs/10.1080/01621459.2014.991395.
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