Data Cloud Geometry (DCG): Using Random Walks to Find Community Structure in Social Network Analysis

[Up] [Top]

Documentation for package ‘DCG’ version 0.9.3

Help Pages

as.SimilarityMatrix Convert a matrix to a similarity matrix. 'as.SimilarityMatrix' convert an adjacency matrix to a similarity matrix.
as.symmetricAdjacencyMatrix convert to a symmetric adjacency matrix
getEigenvalueList generate eigenvalues for all ensemble matrices 'getEigenvalueList' get eigenvalues from ensemble matrices
getEns generate ensemble matrix 'getEns' get ensemble matrix from given similarity matrix and temperature
getEnsList generating a list of ensemble matrices based on the similarity matrix and temperatures
GetSim 'GetSim' get similarity matrix from a distance matrix
monkeyGrooming Grooming network data
plotCLUSTERS generate tree plots for each ensemble matrix 'plotCLUSTERS' plot all cluster trees
plotMultiEigenvalues plot eigenvalues 'plotMultiEigenvalues' plot eigenvalues to determine number of communities by finding the elbow point
plotTheCluster generate tree plots for selected ensemble matrix 'plotTrees' plot one cluster tree
temperatureSample generate temperatures 'temperatureSample' generate tempatures based on either random or fixed intervals