Age preference of metrics for identifying significant nodes in growing citation networks

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.