3 research outputs found
Citations Driven by Social Connections? A Multi-Layer Representation of Coauthorship Networks
To what extent is the citation rate of new papers influenced by the past
social relations of their authors? To answer this question, we present a
data-driven analysis of nine different physics journals. Our analysis is based
on a two-layer network representation constructed from two large-scale data
sets, INSPIREHEP and APS. The social layer contains authors as nodes and
coauthorship relations as links. This allows us to quantify the social
relations of each author, prior to the publication of a new paper. The
publication layer contains papers as nodes and citations between papers as
links. This layer allows us to quantify scientific attention as measured by the
change of the citation rate over time. We particularly study how this change
depends on the social relations of their authors, prior to publication. We find
that on average the maximum value of the citation rate is reached sooner for
authors who either published more papers, or who had more coauthors in previous
papers. We also find that for these authors the decay in the citation rate is
faster, meaning that their papers are forgotten sooner