heterocitation_authors function

This function computes heterocitation metrics for authors

This function computes heterocitation metrics for authors. The heterocitation share (Sx) and heterocitation balance (Dx) of an author are calculated as the average of these metrics for papers published by this author within the given time window. See the man page of heterocitation for definitions of heterocitation metrics.

heterocitation_authors(gr, infLimitYear, supLimitYear, pub_threshold = 0, 
                       remove_orphans = F, remove_citations_to_joint_papers = F)

Arguments

• gr: Citation graph priorly preprocessed with precompute_heterocitation
• infLimitYear: Start year of the time window considered (included)
• supLimitYear: End year of the time window considered (excluded)
• pub_threshold: Minimum number of publications for authors to be considered.
• remove_orphans: Do not consider publications that do not cite any other paper in the dataset (i.e. orphan nodes in the citation network)
• remove_citations_to_joint_papers: Do not consider publications belonging to both corpora in the authors' average corpus calculation.

Returns

Returns a data frame containing author name ("Authors"), number of publications ("NbPubs"), list of publication years ("Years"), list of publications corpora ("Corpus"), list of publication heterocitation share ("Sx"), list of publication heterocitation balance ("Dx"), average heterocitation share ("avgSx"), average heterocitation balance ("avgDx"), average corpus value of publications ("avgCorpus"), regression coefficient of the heterocitation share evolution ("coeffSx"), regression coefficient of the heterocitation balance evolution ("coeffDx"), regression coefficient of the evolution of the corpus value of publications ("coeffCorpus").

Author(s)

Christian Vincenot (christian@vincenot.biz)

Note

precompute_heterocitation should be called before running this function.

See Also

precompute_heterocitation, heterocitation

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)

# Heterocitation
gr<-precompute_heterocitation(gr,labels, 1990, 2018)

# Author heterocitation
heterocitation_authors(gr, 1990, 2018)