R: Deciphering Central Informative Nodes in Network Analysis

# Deciphering Central Informative Nodes in Network Analysis

## Documentation for package ‘CINNA’ version 1.2.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

calculate_centralities | Centrality measure calculation
cortex | Macaque Visual Cortex Network
dangalchev_closeness_centrality | Dangalchev Closeness Centrality
drugTarget | Drug Target Network
giant_component_extract | Giant component extraction of a graph
group_centrality | Group Centrality
harmonic_centrality | Harmonic Centrality
kangaroo | Kangaroo Network
local_bridging_centrality | Local Bridging Centrality
misc_extract_components | Component extraction of miscellaneous graph formats
pca_centralities | PCA Centrality Measures
proper_centralities | Proper centrality measure representation
rhesus | Moreno Rhesus Network
summary_calculate_centralities | Summarize centrality measure calculation results
summary_graph_extract_components | Summarize component extraction of a graph
summary_pca_centralities | Summarize PCA result related to centrality measures
summary_tsne_centralities | Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
tsne_centralities | t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
visualize_association | Pairwise association plot between centrality measures
visualize_correlations | Correlation plot between centrality measures
visualize_dendrogram | Dendrogram plot among centrality measures
visualize_graph | Graph visualization based on a specific centrality measure
visualize_heatmap | Heatmap plot between centrality measures
visualize_pair_correlation | Pairwise correlation plot between two centrality measures
wiener_index_centrality | Wiener Index Centrality
zachary | Zachary Karate Club Network