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ERIC Number: EJ896094
Record Type: Journal
Publication Date: 2009
Pages: 20
Abstractor: As Provided
ISSN: ISSN-1578-7044
Corpus Linguistics, Network Analysis and Co-Occurrence Matrices
Stuart, Keith; Botella, Ana
International Journal of English Studies, v9 spec iss p1-20 2009
This article describes research undertaken in order to design a methodology for the reticular representation of knowledge of a specific discourse community. To achieve this goal, a representative corpus of the scientific production of the members of this discourse community (Universidad Politecnica de Valencia, UPV) was created. This article presents the practical analysis (frequency, keyword, collocation and cluster analysis) that was carried out in the initial phases of the study aimed at establishing the theoretical and practical background and framework for our network analysis of the scientific discourse of the UPV. In the methodology section, the processes that have allowed us to extract from the corpus the linguistic elements needed to develop co-occurrence matrices, as well as the computer tools used in the research, are described. From these co-occurrence matrices, semantic networks of subject and discipline knowledge were generated. Finally, based on the results obtained, we suggest that it may be viable to extract and to represent the intellectual capital of an academic institution using corpus linguistic methods in combination with the formulations of network theory. (Contains 5 tables and 9 figures.)
University of Murcia. Department of English Philology Merced Campus, Calle Santo Cristo 1, Murcia 30071 Spain. Tel: +34-868-88-3406; Fax: +34-868-88-3409; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Spain