| document_network_plot | R Documentation | 
Visualize (a subcomponent) of the document similarity network
document_network_plot(
  g,
  date_attribute = "date",
  source_attribute = "source",
  subcomp_i = NULL,
  dtm = NULL,
  sources = NULL,
  only_outer_date = FALSE,
  date_format = "%Y-%m-%d %H:%M",
  margins = c(5, 8, 1, 13),
  isolate_color = NULL,
  source_loops = TRUE,
  ...
)
| g | A document similarity network, as created with newsflow_compare or create_document_network | 
| date_attribute | The label of the vertex/document date attribute. Default is "date" | 
| source_attribute | The label of the vertex/document source attribute. Default is "source" | 
| subcomp_i | Optional. If an integer is given, the network is decomposed into subcomponents (i.e. unconnected components) and only the i-th component is visualized. | 
| dtm | Optional. If a document-term matrix that contains the documents in g is given, a wordcloud with the most common words of the network is added. | 
| sources | Optional. Use a character vector to select only certain sources | 
| only_outer_date | If TRUE, only the labels for the first and last date are reported on the x-axis | 
| date_format | The date format of the date labels (see format.POSIXct) | 
| margins | The margins of the network plot. The four values represent bottom, left, top and right margin. | 
| isolate_color | Optional. Set a custom color for isolates | 
| source_loops | If set to FALSE, all edges between vertices/documents of the same source are ignored. | 
| ... | Additional arguments for the network plotting function plot.igraph | 
Nothing.
docnet = docnet
dtm = rnewsflow_dfm
docnet_comps = igraph::decompose.graph(docnet) # get subcomponents
# subcomponent 1
document_network_plot(docnet_comps[[1]]) 
# subcomponent 2 with wordcloud
document_network_plot(docnet_comps[[2]], dtm=dtm) 
# subcomponent 3 with additional arguments passed to plot.igraph 
document_network_plot(docnet_comps[[3]], dtm=dtm, vertex.color='red') 
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