compute_BC_ranking {Diderot} | R Documentation |
This function computes the Betweenness Centrality (BC) for each graph node (i.e. publication).
compute_BC_ranking(gr, labels, write_to_graph = F)
gr |
Citation graph |
labels |
Labels (i.e. names) of the two corpora featured in the graph. |
write_to_graph |
Flag to indicate whether to write results to the graph (i.e. save BC values as node attributes). |
If write_to_graph is FALSE, returns a list of entries (authors, title, year, corpus, BC) sorted by decreasing BC. Else, returns the graph given as input to which BC values are added as node attributes.
Christian Vincenot (christian@vincenot.biz)
compute_citation_ranking
, compute_Ji_ranking
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 BC
compute_BC_ranking(gr, labels)