Random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords.
The evolution of vocabulary in academic publishing is characterized via keyword frequencies recorded in 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 h...
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2008
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oai:doaj.org-article:7525828da1b3405083c57639ae4e52f12021-11-25T06:18:49ZRandom drift versus selection in academic vocabulary: an evolutionary analysis of published keywords.1932-620310.1371/journal.pone.0003057https://doaj.org/article/7525828da1b3405083c57639ae4e52f12008-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18728786/?tool=EBIhttps://doaj.org/toc/1932-6203The evolution of vocabulary in academic publishing is characterized via keyword frequencies recorded in 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.R Alexander BentleyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 3, Iss 8, p e3057 (2008) |
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Medicine R Science Q R Alexander Bentley Random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords. |
description |
The evolution of vocabulary in academic publishing is characterized via keyword frequencies recorded in 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. |
format |
article |
author |
R Alexander Bentley |
author_facet |
R Alexander Bentley |
author_sort |
R Alexander Bentley |
title |
Random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords. |
title_short |
Random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords. |
title_full |
Random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords. |
title_fullStr |
Random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords. |
title_full_unstemmed |
Random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords. |
title_sort |
random drift versus selection in academic vocabulary: an evolutionary analysis of published keywords. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2008 |
url |
https://doaj.org/article/7525828da1b3405083c57639ae4e52f1 |
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AT ralexanderbentley randomdriftversusselectioninacademicvocabularyanevolutionaryanalysisofpublishedkeywords |
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1718413930618945536 |