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CINNA (version 1.0.0)
Deciphering Central Informative Nodes in Network Analysis
Description
Functions for computing, comparing and demonstrating top informative centrality measures within a network.
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Install
install.packages('CINNA')
Monthly Downloads
595
Version
1.0.0
License
GPL-3
Maintainer
Minoo Ashtiani
Last Published
July 15th, 2017
Functions in CINNA (1.0.0)
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calculate.centralities
Centrality measure calculation
cortex
Macaque Visual Cortex Network
drugtarget
Drug Target Network
giant.component.extract
Giant component extraction of a graph
graph.extract.components
Component extraction of a graph
kangaroo
Kangaroo Network
misc.extract.components
Component extraction of miscellaneous graph formats
pca.centralities
Ranking centrality measure based on contributions
print.visualize.association
Print pairwise association between centrality measure's plot into a file
print.visualize.correlations
Print centrality correlation plot
print.visualize.dendogram
Print dendrogram plot of a graph
print.visualize.graph
Print visualized based on centrality values graph
tsne.centralities
t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
proper.centralities
Proper centrality measure representation
rhesus
Moreno Rhesus Network
visualize.correlations
Correlation plot between centrality values
visualize.dendogram
Dendrogram visualization based on a specific centrality measure
visualize.association
Pairwise association between centrality values
summary.pca.centralities
Summarize PCA result related to centrality measures
summary.tsne.centralities
Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
visualize.graph
Graph visualization based on a specific centrality measure
visualize.heatmap
Heatmap between centrality values
print.visualize.heatmap
Print centralities' heatmap
print.visualize.pair.correlation
Print pairwise correlation of centrality measure and histogram plot
summary.calculate.centralities
Summarize centrality measure calculation results
summary.graph.extract.components
Summarize component extraction of a graph
visualize.pair.correlation
Pairwise correlation between two centrality values
zachary
Zachary Karate Club Network