visualize_dendrogram {CINNA}

Dendrogram plot among centrality measures

Description

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

Usage

visualize_dendrogram(
  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)

Value

The function generates a dendrogram plot of a graph's vertices based on a centrality measure. The function takes an igraph object 'x' as input, representing the graph. The 'centrality.type' parameter specifies the type of centrality measure to be considered (default is "Degree Centrality"). If the 'computed_centrality_value' parameter is provided, it should be a vector containing the computed centrality values for each node. Otherwise, the function will compute the specified centrality measure for the graph. The 'k' parameter specifies the number of clusters to be formed from the dendrogram (default is 4). The function creates a dendrogram plot of the vertices, where the branching structure represents the hierarchical clustering based on the centrality measure. The function returns the dendrogram plot.

Author(s)

Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari

References

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