Linkage (version 0.9)

Linkage-package: Linkage

Description

Linkage

Details

The DESCRIPTION file: Linkage Linkage It allows to cluster communication networks using the Stochastic Topic Block Model (Bouveyron et al., 2018, <doi:10.1007/s11222-016-9713-7>) by posting jobs through the API of the linkage.fr server, which implements the clustering method. The package also allows to visualize the clustering results returned by the server.

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')
# }