plot_graph: Plots graphs containing thresholded communties
In snaketron/BcellNet: B-Cell-Network Visualization Tool Package

Description Usage Arguments See Also Examples

View source: R/PlotBCR.R

plot_graph transforms a graph into an internal representation to abstract unnecessary noise away and highlight important communities detected. You can adjust the behaviour by applying different arguments to the parameters.

plot_graph(weighted_graph, edge_threshold = 4, community_threshold = 1,
  vertex_size = 10, vertex_color = "grey", edge_width = 1,
  edge_color = "darkgrey", community_algorithm = cluster_louvain,
  layout_algorithm = "layout_nicely", dynamic = TRUE)

`weighted_graph`	The base graph. Will be used as a base for the layout of the final graph.
`edge_threshold`	All edges lower than this are removed from the final graph.
`community_threshold`	Only communities with higher vertex count than this are highlighted.
`vertex_size`	Controls size of vertices.
`vertex_color`	Controls color of vertices.
`edge_width`	Controls width of edges.
`edge_color`	Controls color of edges.
`community_algorithm`	which algorithm is used to calculate the communities
`layout_algorithm`	which algorithm is used to calculate the layout of the graph
`dynamic`	Logical Type. Determines if the plot is rendered dynamically via JS or static as a SVG

igraph

visNetwork

communities

require(igraph)
plot_graph(igraph::graph(edges=c(1,2), n=3, directed=FALSE))

## Not run: 
library(igraphdata)
data("karate")
 
plot_graph(karate)

## End(Not run)