Identification of the Most Influential Nodes (Hubs)


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Documentation for package ‘influential’ version 0.1.0

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adjmatrix2graph Creating igraph graphs from adjacency matrices
BC Vertex betweenness centrality
betweenness Vertex betweenness centrality
centrality.measures Centrality measures dataset
coexpression.adjacency Adjacency matrix
coexpression.data Co-expression dataset
cond.prob.analysis Conditional probability of deviation from means
CPA Conditional probability of deviation from means
dataframe2graph Creating igraph graphs from data frames
DC Degree of the vertices
DCA Assessment of innate features and associations of two network centrality measures (dependent and independent)
DCANR Assessment of innate features and associations of two network centrality measures
degree Degree of the vertices
double.cent.assess Assessment of innate features and associations of two network centrality measures (dependent and independent)
double.cent.assess.noRegression Assessment of innate features and associations of two network centrality measures
graph_from_adjacency_matrix Creating igraph graphs from adjacency matrices
graph_from_data_frame Creating igraph graphs from data frames
IHS Integrated hubness score (IHS)
ihs Integrated hubness score (IHS)
NC Neighborhood connectivity
neighborhood.connectivity Neighborhood connectivity
V Vertices of an igraph graph
vertices Vertices of an igraph graph