Learn R Programming

fcd (version 0.1)

Fused Community Detection

Description

Efficient procedures for community detection in network studies, especially for sparse networks with not very obvious community structure. The algorithms impose penalties on the differences of the coordinates which represent the community labels of the nodes.

Copy Link

Version

Install

install.packages('fcd')

Monthly Downloads

18

Version

0.1

License

GPL (>= 2.0)

Maintainer

Last Published

December 15th, 2013

Functions in fcd (0.1)

fcd

Fused community detection.
fcd.cluster

Clustering the estimators along the path.
spectral.clustering

Spectral clustering and its variant.
get.cluster

Final estimators of the community labels
fcd.trans

The graph based penalty transformation matrix
laplacian

Laplacian matrix
fcd.criteria

The criterion values based along the path.
generate

generate adjacency matrix of stochastic blockmodel, degree-corrected block model or cockroach graph model.
isolate

Isolated nodes collection
mis.cluster

Mis-clustered nodes for balanced designed network.