Random Drift versus Selection in Academic Vocabulary: An Evolutionary Analysis of Published Keywords
Abstract
The evolution of vocabulary in academic publishing is characterized via keyword frequencies recorded the ISI Web of Science citations database. In four distinct case-studies, evolutionary analysis of keyword frequency change through time is compared to a model of random copying used as the null hypothesis, such that selection may be identified against it. The case studies from the physical sciences indicate greater selection in keyword choice than in the social sciences. Similar evolutionary analyses can be applied to a wide range of phenomena; wherever the popularity of multiple items through time has been recorded, as with web searches, or sales of popular music and books, for example.
- Publication:
-
PLoS ONE
- Pub Date:
- August 2008
- DOI:
- 10.1371/journal.pone.0003057
- arXiv:
- arXiv:0807.1182
- Bibcode:
- 2008PLoSO...3.3057B
- Keywords:
-
- Physics - Physics and Society;
- Computer Science - Digital Libraries
- E-Print:
- 9 pages, 4 figures