vis.clustered.graphs: Visualise clustered graphs
In tilltnet/egonetR: Import and analyse ego-centric network data

Description Usage Arguments Value References See Also Examples

vis.clustered.graphs visualises clustered.graphs using a list of clustered graphs created with clustered.graphs created clustered graph objects.

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vis.clustered.graphs(graphs, node.size.multiplier = 1, node.min.size = 0,
  node.max.size = 200, edge.width.multiplier = 30, center = 1,
  label.size = 0.8, labels = F, legend.node.size = 45, to.pdf = F)

`graphs`	`List` of `graph` objects, representing the clustered graphs.
`node.size.multiplier`	`Numeric` used to multiply the node diameter of visualised nodes.
`node.min.size`	`Numeric` indicating minimum size of plotted nodes
`node.max.size`	`Numeric` indicating maximum size of plotted nodes
`edge.width.multiplier`	`Numeric` used to mutliply the edge width.
`center`	`Numeric` indicating the vertex to be plotted in center.
`label.size`	`Numeric`.
`labels`	`Boolean`. Plots with turned off labels will be preceeded by a 'legend' plot giving the labels of the vertices.
`legend.node.size`	`Numeric` used as node diameter of legend graph.
`to.pdf`	`Boolean`.

vis.clustered.graphs plots a list of igraph objects created by the clustered.graphs function.

clustered.graphs returns a list of graph objects representing the clustered ego-centered network data;

Brandes, U., Lerner, J., Lubbers, M. J., McCarty, C., & Molina, J. L. (2008). Visual Statistics for Collections of Clustered Graphs. 2008 IEEE Pacific Visualization Symposium, 47-54.

clustered.graphs for creating clustered graphs objects

data("egoR32")

# Simplify networks to clustered graphs, stored as igraph objects
graphs <- clustered.graphs(egoR32$alteri.list, egoR32$edges, "alter.age") 

# Visualise
vis.clustered.graphs(graphs)