Linkage (version 0.9)

plot.linkage: The plot function for 'linkage' objects.

Description

This function plots different information about 'linkage' objects.

Usage

# S3 method for linkage
plot(x, type="all", ...)

Arguments

x

an object of type 'linkage' to plot

type

the type of information to plot:

- "all": all information,

- "network": the clustered network,

- "metanetwork": the metanetwork which summarizes all model parameters,

- "topics": the most representative words of each topic,

- "prop": the node cluster proportions.

…

Additional options to pass to the plot function.

Value

No value is returned by this function.

References

C. Bouveyron, P. Latouche and R. Zreik, The Stochastic Topic Block Model for the Clustering of Networks with Textual Edges, Statistics and Computing, vol. 28(1), pp. 11-31, 2017 <doi:10.1007/s11222-016-9713-7>

Examples

# NOT RUN {
data(Enron)
write.table(Enron, file="Enron.csv",row.names=FALSE,col.names=FALSE, sep=",")
file = "Enron.csv"

# Provide the user token, which is provided on "developers" page
# of http://linkage.fr (after registration)
token = "xxxxxxxxxxxxxxxxxxxx"

# Post the job
job_id = linkage.post(file, token, job_title="My job: Enron",
                      clusters_min = 8, clusters_max = 8,
                      topics_min = 6,topics_max = 6,
                      filter_largest_subgraph = TRUE)

# Monitor achievment of the current job
ans = linkage.check(token)

# Retrieve results (once achievment is 100<!-- %) -->
res = linkage.getresults(job_id,token)

# Plot the results
plot(res,type='all')
# }