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2018
Volume 77, Issue 3
  • ISSN: 0010-096X
  • E-ISSN: 1939-9006
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Abstract

This article examines one of the largest and most influential sites of knowledge production in the field of writing studies: (). Based on a bibliometric network analysis of intra-journal citations in the journal, this article uses two metrics borrowed from network science, eigenvector and betweenness centrality, to highlight different “centers” of . As this article illustrates, whereas the eigenvector centrality measure can help newcomers to the field determine the “key” articles on a global scale, the betweenness centrality measure enables more experienced scholars to identify the articles that are significant in local contexts because they serve as bridges between different areas of the discipline.

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2026-02-01
2026-03-11
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