Displaying 2 results from an estimated 2 matches for "socnet".
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2019 Sep 30
0
New package 'backbone' for extracting significant edges from a weighted graph
...gned backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection.
Backbone extraction methods include:
the stochastic degree sequence model (Neal, Z. P. (2014). https://doi.org/10.1016/j.socnet.2014.06.001),
hypergeometric model (Neal, Z. (2013). https://doi.org/10.1007/s13278-013-0107-y),
the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). https://doi.org/10.1007/s13278-011-0021-0),
as well as a universal threshold method.
A vignette which describes the package in gr...
2019 Sep 30
0
New package 'backbone' for extracting significant edges from a weighted graph
...gned backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection.
Backbone extraction methods include:
the stochastic degree sequence model (Neal, Z. P. (2014). https://doi.org/10.1016/j.socnet.2014.06.001),
hypergeometric model (Neal, Z. (2013). https://doi.org/10.1007/s13278-013-0107-y),
the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). https://doi.org/10.1007/s13278-011-0021-0),
as well as a universal threshold method.
A vignette which describes the package in gr...