HCDplot: plot the result of hierarchical community detection

In HCD: Hierarchical Community Detection by Recursive Partitioning

plot the result of hierarchical community detection

Description

Generate dendrogram of the HCD result.

Usage

HCDplot(hcd,mode="community",labels=NULL,main=NULL,label.cex=1)

Arguments

hcd	The result of an HCD call.
mode	plotting community hierarchy or node hierarchy. The default value is "community", indicating plotting hierarchy between communities. Alternatively, the plot is for all nodes, which is not recommended because usually there are too many of them.
labels	the labels of the each leaf of the tree. By default, the community/node index is used. The user can also specify another sequence of characters.
main	title of the plot.
label.cex	size of the leaf label in the plot. When plotting node hierarchy, typically there are too many nodes so the labels will seriously overlap. Use a smaller size (say, label.cex=0.3) may help.

Value

No return value, called for visualization.

Author(s)

Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter Bickel, and Elizaveta Levina.

Maintainer: Tianxi Li <[e-mail]>

References

Li, T., Lei, L., Bhattacharyya, S., Van den Berge, K., Sarkar, P., Bickel, P.J. and Levina, E., 2022. Hierarchical community detection by recursive partitioning. Journal of the American Statistical Association, 117(538), pp.951-968.

Examples

dt <- BTSBM(n=80,d=4,a.seq=0.2^seq(0,4),lambda=20)
A <- dt$A.list[[1]]
system.time(HCD.result <- HCD(A,method="SC",stopping="Fix",D=4,notree=FALSE,n.min=5))

HCDplot(HCD.result,mode="community",main="Community Tree")

HCD documentation built on May 29, 2024, 2:19 a.m.