LAUSR

Abstract Identifying significant works in the field of arts and sciences should avoid age preference. Recent research has shown that the time-balanced variant of the popular Google’s PageRank and degree for identifying significant works could provide an objective approach to eliminate the age preference in growing networks. However, a fundamental question remains open: How much performance capability do time-balanced metrics expect when they identify significant nodes in the growing networks? Through investigating of two large time-aggregated citations networks between movies procured from the Internet Movie Database and papers published on the journals of American Physical Society respectively, we analyze the age preference of several time-balanced metrics of PageRank and degree for identifying significant nodes in comparison.