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networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling

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  • Admiraal, Ryan
  • Handcock, Mark S.

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

Suggested Citation

  • Admiraal, Ryan & Handcock, Mark S., 2008. "networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i08).
    • Handle: RePEc:jss:jstsof:v:024:i08
    DOI: http://hdl.handle.net/10.18637/jss.v024.i08
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    Cited by:

    1. Marcelo Lufin Varas & Ángela Villalobos Lorca, 2013. "Valores y Diseños de Política Pública: El Caso de la Implementación del Programa Chile Solidario en las Comunas de la Región de Antofagasta," Documentos de Trabajo en Economia y Ciencia Regional 39, Universidad Catolica del Norte, Chile, Department of Economics, revised Mar 2013.

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