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

Zhuo-Ming Ren

Physica A: Statistical Mechanics and its Applications, 2019, vol. 513, issue C, 325-332

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.

Keywords: Age preference; Significance identification; Growing citation networks (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:513:y:2019:i:c:p:325-332

DOI: 10.1016/j.physa.2018.09.001

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