visualize.dendogram: Dendrogram visualization based on a specific centrality...

In jafarilab/CINNA: Deciphering Central Informative Nodes in Network Analysis

Dendrogram visualization based on a specific centrality measure

Description

This function demonstrates the vertice dendrogram of a graph based on a centrality type.

Usage

visualize.dendogram(x, centrality.type = "Degree Centrality",
  computed.centrality.value = NULL, k = 4)

Arguments

x	an igraph object
centrality.type	The type of centrality which should be considered.(default="Degree Centrality")
computed.centrality.value	A vector containing the values of calculated centrality measure for each node.(default=NULL)
k	number of clusters(default=4)

Details

This function represents node dendrogram of a graph based on a centrality measure. If the favor centrality is not computed yet, by specifying the name of that it will compute it and show the result.

Author(s)

Minoo Ashtiani, Mohieddin Jafari

References

Galili, T. (2015). dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering. Bioinformatics, 31(22), 3718–3720.

Gu, Z., Gu, L., Eils, R., Schlesner, M., & Brors, B. (2014). circlize implements and enhances circular visualization in R. Bioinformatics, 30(19), 2811–2812.

See Also

dendrogram

jafarilab/CINNA documentation built on Aug. 19, 2023, 4:49 p.m.