reedmolloy: Generate a (non-random) network with a given degree sequence
In degreenet: Models for Skewed Count Distributions Relevant to Networks

Description Usage Arguments Value Note References See Also Examples

Generate a network with a given number of actors with a given degree. The resultant network is not random - that is, is not a random draw from all such networks. This requires the network package.

1	reedmolloy(deg, maxit=10, verbose=TRUE)

`deg`	vector of counts where element i is the number of actors with degree i.
`maxit`	integer; maximum number of jitterings of the degree sequence to find a valid network.
`verbose`	Print out details of the progress of the algorithm.

If the network package is available, the network is returned as a network object. If not a sociomatrix is returned.

See the working papers on http://www.csss.washington.edu/Papers for details

Jones, J. H. and Handcock, M. S. "An assessment of preferential attachment as a mechanism for human sexual network formation," Proceedings of the Royal Society, B, 2003, 270, 1123-1128.

ayulemle, dyule

# Now, simulate a Poisson Lognormal distribution over 100
# observations with mean = -1 and s.d. = 1.

set.seed(2)
s4 <- simpln(n=100, v=c(-1,1))
table(s4)
#
simr <- reedmolloy(s4)
simr