SpeCon: SpeCon

In yzhang672/SpeCon: Spectral Contextualization for Network Analysis with Node Covariates

Description

SpeCon

Usage

SpeCon(AdjMat, BowMatX, BowMatY, signif_level, weight_h, ncluster_x, ncluster_y,
  niteration)

Arguments

AdjMat	An Adjacency Matrix
BowMatX	A Bag of Word Matrix for the first type of nodes (senders)
BowMatY	A Bag of Word Matrix for the second type of nodes (receivers) The two types of nodes can be the same.
signif_level	Significance level that decide the percentage of non-zero elements of the Call Response Matrix we use. (Thresholding Step)
weight_h	The weight h for the covariate-assisted part
ncluster_x	Number of clusters for the first type of nodes (senders)
ncluster_y	Number of clusters for the second type of nodes (receivers)
niteration	Number of iterations in k-means.

Value

A list of parameters: svdSimMat Singular values and singular vectors of the similarity matrix. km_x Clustering results for the first type of nodes (senders) km_y Clustering results for the second type of nodes (receivers)

yzhang672/SpeCon documentation built on May 31, 2019, 1:17 p.m.