Corpus Linguistics, Network Analysis and Co-occurrence Matrices
AbstractThis 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 Politécnica de Valencia, UPV) was created. The 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 matrix and 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 linguistics methods in combination with the formulations of network theory.
The works published in this journal are subject to the following terms:
1. The Publications Services at the University of Murcia (the publisher) retains the property rights (copyright) of published works, and encourages and enables the reuse of the same under the license specified in item 2.
2. The works are published in the electronic edition of the magazine under a Creative Commons Attribution Non-commercial Share Alike 4.0.
3.Conditions of self-archiving. Authors are encouraged to disseminate pre-print (draft papers prior to being assessed) and/or post-print versions (those reviewed and accepted for publication) of their papers before publication, because it encourages distribution earlier and thus leads to a possible increase in citations and circulation among the academic community.
RoMEO color: green