Description Usage Arguments See Also Examples
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.
1 2 3 4 | 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 |
1 2 3 4 5 6 7 8 9 10 | 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)
|
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