Sociogram of a Correlation Matrix

Generates a network chart of correlations among words in a corpus.

Usage

corNet(cor.list, 
       link.col=c("red","steelblue1"),
       link.alpha=0.7,
       link.curvature=0.25,
       node.col="purple",
       family="sans",
       layout="fr")

Arguments

cor.list: A list containing a edge list and details on vectors produces by the function corTerms.
link.col: The color of the links/edges among words. The default are red (for negative correlations) and steelblue1 (for positive ones).
link.alpha: The opacity of link colors. The default is 0.3.
link.curvature: The curvature of the links/edges in the graph. The default is 0.25.
node.col: Indicates the degree of correlation that will be used to filter the values returned. The default is "purple".
family: Font family to be used in labeling values. The default is "sans".
layout: The network layout of the graph. The possible options are: "circle","sphere","nicely","fr","gem","kk","mds","dh","lgl","sugiyama". The default is "fr".

Details

The function corNet generates a network graph (sociogram) for the correlation among words in a corpus.

Value

A ggplot2 chart.

Examples

if (FALSE) {
# Create a corpus object
cb <- bra.inaugural

# Generates a list of correlations
ll <- corTerms(cb, 
                lang = "pt", 
                min.freq = 50, 
                n.terms = 50, 
                remove.wordlist = c("é",
                                "ser",
                                "fazer",
                                "cada",
                                "neste"))

# Plots the sociogram
corNet(ll)
}