The idea of clustered graphs is to reduce the complexity of an ego-centered network
graph by visualizing alters in clusters defined by a categorical variable (Lerner et al. 2008).
clustered_graphs()
calculates group sizes, inter and intra group tie
densities and returns these informations in a list
of igraph
objects.
clustered_graphs(object, ..., clust.groups)
# S3 method for list
clustered_graphs(object, aaties, clust.groups, ...)
# S3 method for egor
clustered_graphs(object, clust.groups, ...)
# S3 method for data.frame
clustered_graphs(object, aaties, clust.groups, egoID = ".egoID", ...)
An egor
object.
arguments to be passed to methods
A character
naming the factor
variable defining the groups.
data.frame/ list
containing alter-alter relations as a
'global edge list' or as a list of 'edge lists'.
(not needed if object
is an egor
object).
Character
. Name of the variable identifying egos (default: "egoID").
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.
vis_clustered_graphs
for visualizing clustered graphs