sparsify.with.gspar | R Documentation |
sparsify.with.gspar
is a wrapper for sparsify()
that extracts the G-spar backbone described by Satuluri et al. (2011).
It is equivalent to sparsify(escore = "jaccard", normalize = "none", filter = "proportion", umst = FALSE)
.
sparsify.with.gspar(U, s, class = "original", narrative = FALSE)
U |
An unweighted unipartite graph, as: (1) an adjacency matrix in the form of a matrix or sparse |
s |
numeric: Proportion of edges to retain, 0 < s < 1; smaller values yield sparser graphs |
class |
string: the class of the returned backbone graph, one of c("original", "matrix", "Matrix", "igraph", "edgelist").
If "original", the backbone graph returned is of the same class as |
narrative |
boolean: TRUE if suggested text & citations should be displayed. |
An unweighted, undirected, unipartite graph of class class
.
package: Neal, Z. P. (2022). backbone: An R Package to Extract Network Backbones. PLOS ONE, 17, e0269137. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1371/journal.pone.0269137")}
model: Satuluri, V., Parthasarathy, S., & Ruan, Y. (2011, June). Local graph sparsification for scalable clustering. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data (pp. 721-732). \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1145/1989323.1989399")}
U <- igraph::sample_sbm(60, matrix(c(.75,.25,.25,.25,.75,.25,.25,.25,.75),3,3), c(20,20,20))
plot(U) #A hairball
sparse <- sparsify.with.gspar(U, s = 0.4, narrative = TRUE)
plot(sparse) #Clearly visible communities
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