Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling | Admiraal | Journal of Statistical Software
Authors: Ryan Admiraal, Mark S. Handcock
Title: networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling
Abstract: The ability to simulate graphs with given properties is important for the analysis of social networks. Sequential importance sampling has been shown to be particularly effective in estimating the number of graphs adhering to fixed marginals and in estimating the null distribution of graph statistics. This paper describes the networksis package for R and how its simulate and simulate_sis functions can be used to address both of these tasks as well as generate initial graphs for Markov chain Monte Carlo simulations

Page views:: 14313. Submitted: 2008-01-30. Published: 2008-05-08.
Paper: networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling     Download PDF (Downloads: 7758)
Supplements:
networksis_1.0.tar.gz: R source package Download (Downloads: 2294; 28KB)
v24i08.R: R example code from the paper Download (Downloads: 2805; 2KB)

DOI: 10.18637/jss.v024.i08

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.