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networksis: A package to simulate bipartite graphs with fixed marginals through sequential importance sampling

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journal contribution
posted on 10.08.2021, 01:35 by Ryan AdmiraalRyan Admiraal, MS Handcock
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.

History

Preferred citation

Admiraal, R. & Handcock, M. S. (2008). networksis: A package to simulate bipartite graphs with fixed marginals through sequential importance sampling. Journal of Statistical Software, 24(8). https://doi.org/10.18637/jss.v024.i08

Journal title

Journal of Statistical Software

Volume

24

Issue

8

Publication date

01/01/2008

Publisher

Foundation for Open Access Statistic

Publication status

Published

Online publication date

01/01/2008

ISSN

1548-7660

eISSN

1548-7660

Language

en