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

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posted on 2021-08-10, 01:35 authored 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

2008-01-01

Publisher

Foundation for Open Access Statistic

Publication status

Published

Online publication date

2008-01-01

ISSN

1548-7660

eISSN

1548-7660

Language

en

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