plot_semnet {corpustools} R Documentation

## Visualize a semnet network

### Description

plot_semnet is a wrapper for the plot.igraph() function optimized for plotting a semantic network of the "semnet" class.

### Usage

plot_semnet(
g,
weight_attr = "weight",
min_weight = NA,
delete_isolates = F,
vertexsize_attr = "freq",
vertexsize_coef = 1,
vertexcolor_attr = NA,
edgewidth_coef = 1,
max_backbone_alpha = NA,
labelsize_coef = 1,
labelspace_coef = 1.1,
reduce_labeloverlap = F,
redo_layout = F,
return_graph = T,
vertex.label.dist = 0.25,
layout_fun = igraph::layout_with_fr,
...
)


 g A network in the igraph format. Specifically designed for the output of coOccurenceNetwork() and windowedCoOccurenceNetwork() weight_attr The name of the weight attribute. Default is 'weight' min_weight The minimum weight. All edges with a lower weight are dropped delete_isolates If TRUE, isolate vertices (also after applying min_weight) are dropped vertexsize_attr a character string indicating a vertex attribute that represents size. Default is 'freq', which is created in the coOccurenceNetwork functions to indicate the number of times a token occured. vertexsize_coef a coefficient for changing the vertex size. vertexcolor_attr a character string indicating a vertex attribute that represents color. The attribute can also be a numeric value (e.g., a cluster membership) in which case colors are assigned to numbers. If no (valid) color attribute is given, vertex color are based on undirected fastgreedy.community() clustering. edgewidth_coef a coefficient for changing the edge width max_backbone_alpha If g has an edge attribute named alpha (added if backbone extraction is used), this specifies the maximum alpha value. labelsize_coef a coefficient for increasing or decreasing the size of the vertexlabel. labelspace_coef a coefficient that roughly determines the minimal distance between vertex labels, based on the size of labels. Only used if reduce_labeloverlap is TRUE. reduce_labeloverlap if TRUE, an algorithm is used to reduce overlap as best as possible. redo_layout If TRUE, a new layout will be calculated using layout_with_fr(). If g does not have a layout attribute (g$layout), a new layout is automatically calculated. return_graph if TRUE, plot_semnet() also returns the graph object with the attributes and layout as shown in the plot. vertex.label.dist The distance of the label to the center of the vertex layout_fun The igraph layout function that is used. ... additional arguments are passed on to plot.igraph() ### Details Before plotting the network, the set_network_attributes() function is used to set pretty defaults for plotting. Optionally, reduce_labeloverlap can be used to prevent labeloverlap (as much as possible). ### Value Plots a network, and returns the network object if return_graph is TRUE. ### Examples tc = create_tcorpus(sotu_texts, doc_column = 'id') tc$preprocess('token','feature', remove_stopwords = TRUE, use_stemming = TRUE, min_docfreq=10)

g = semnet_window(tc, 'feature', window.size = 10)
g = backbone_filter(g, max_vertices = 100)
plot_semnet(g)



[Package corpustools version 0.4.10 Index]