visualize_dendrogram function

Dendrogram plot among centrality measures

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

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)

Returns

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.

References

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

Author(s)

Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari