Wu et al., "Metrics and mechanisms: Measuring the unmeasurable in the science of science" (2022)
2022-05-01 → 2026-08-14
Lingfei Wu, Aniket Kittur, Hyejin Youn, Staša Milojević, Erin Leahey, Stephen M. Fiore, and Yong-Yeol Ahn, Journal of Informetrics 16(2), 101290 (2022)
DOI | arXiv | PDF
@article{wu2022metrics,
author = {Lingfei Wu and Aniket Kittur and Hyejin Youn and Sta\v{s}a Milojevi\'{c} and Erin Leahey and Stephen M. Fiore and Yong-Yeol Ahn},
title = {Metrics and mechanisms: Measuring the unmeasurable in the science of science},
journal = {Journal of Informetrics},
volume = {16},
number = {2},
pages = {101290},
doi = {10.1016/j.joi.2022.101290},
archivePrefix = {arXiv},
eprint = {2111.07250},
primaryClass = {physics.soc-ph},
year = {2022},
}
Links metrics to mechanisms in the science of science, organizing examples around hot and cold, fast and slow, and soft and hard science. The perspective argues that effective metrics depend on understanding and modeling the processes that generate them.
Science of science, Scientometrics, Bibliometrics