backbone (version 2.0.0)

sparsify.with.localdegree: Extract Hamann et al.'s (2016) Local Degree backbone

Description

sparsify.with.localdegree is a wrapper for sparsify() that extracts the local degree backbone described by Hamann et al. (2016). It is equivalent to sparsify(escore = "degree", normalize = "rank", filter = "degree", umst = FALSE).

Usage

sparsify.with.localdegree(U, s, class = "original", narrative = FALSE)

Arguments

U

An unweighted unipartite graph, as: (1) an adjacency matrix in the form of a matrix, sparse Matrix, or dataframe; (2) an edgelist in the form of a two-column matrix, sparse Matrix, or dataframe; (3) an igraph object; (4) a network object.

s

numeric: Sparsification exponent, 0 < s < 1; smaller values yield sparser graphs

class

string: the class of the returned backbone graph, one of c("original", "matrix", "sparseMatrix", "igraph", "network", "edgelist"). If "original", the backbone graph returned is of the same class as U.

narrative

boolean: TRUE if suggested text & citations should be displayed.

Value

An unweighted, undirected, unipartite graph of class class.

References

Hamann, M., Lindner, G., Meyerhenke, H., Staudt, C. L., & Wagner, D. (2016). Structure-preserving sparsification methods for social networks. Social Network Analysis and Mining, 6, 22. 10.1007/s13278-016-0332-2

Examples

# NOT RUN {
U <- igraph::as.undirected(igraph::sample_pa(60, m = 3), mode = "collapse")
plot(U) #A hairball
sparse <- sparsify.with.localdegree(U, s = 0.3, narrative = TRUE)
plot(sparse) #Clearly visible hubs
# }