plot_modularity_timeseries {Diderot}

Function to plot graph modularity timeseries

Description

This function plots and returns annual graph modularity values for predefined corpora (representing communities). See compute_modularity for details on modularity calculation.

Usage

plot_modularity_timeseries(gr_arg, mini = -1, maxi = -1, cesure = -1, window = 1, 
                           modularity_function = "normal")

Arguments

gr_arg

Citation graph

mini

Start year of the time window

maxi

End year of the time window

cesure

Year before which values should be cumulated. Default value is -1, which indicates that each year in the time window should be plotted.

window

The temporal sliding window size over which modularity should be computed.

modularity_function

Modularity function to be used for the calculation: "custom" indicates that compute_custom_modularity will be used, whereas "normal" indicates that compute_modularity will be used.

Value

Returns a dataframe containing year and annual modularity value.

Author(s)

Christian Vincenot ([e-mail])

See Also

compute_modularity, compute_custom_modularity

Examples

labels<-c("Corpus1","Corpus2")

# Build a bibliographical dataset from Scopus exports
db<-create_bibliography(corpora_files=c(tempfi1,tempfi2), 
                        labels=labels, keywords=NA)


# Build graph
gr<-build_graph(db=db,small.year.mismatch=TRUE, attrs=c("Corpus","Year","Authors"), nb.cores=1)

# Compute Modularity timeseries
plot_modularity_timeseries(gr, 1990, 2018)