Mapping Knowledge Domains in Second Language Writing Research: A Citation Network Analysis
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Abstract
This study conducted citation network analysis to illuminate knowledge domains in second language (L2) writing research, as reflected in literature citation patterns. The data comprised 2,316 research articles during the period 1990-2021. CitNetExplorer software was employed to calculate citation interconnectivity and visualize the citation network. Cluster analysis of the citation network identified 14 research topics and 25 subtopics. The results indicated that the most frequently researched topics included feedback, linguistic features as a predictor of L2 writing proficiency, collaboration, individual differences in writing behavior, and voice construction and metadiscourse. The least frequently researched topics reflected research interests that are emerging or underrepresented in L2 writing research. Topics such as multimodal composing and machine translation demonstrated growing research interest in multimodality and new digital literacies. The results also raised the question of whether L2 writing research lacked focus on young learners, real-life writing tasks, and L2 writing concerns in specific cultural contexts. Limitations and suggestions for further research are discussed.
Keywords:
second language writing, citation network analysis, mapping knowledge domains, CitNetExplorerAcknowledgments
This work was supported by Hankuk University of Foreign Studies Research Fund of 2022.
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