A social network analysis of knowledge infrastructure in the second language acquisition domain

Abstract

This study utilizes the social network analysis (SNA) technique to analyze and better understand the semantic and knowledge networks that are associated with the linguistic domain of second language acquisition (SLA). Our analytic research helps to further define our understanding of SLA by constructing a detailed description of the domain’s network knowledge infrastructure. By analyzing 5,297 publications, authored by 9,220 authors, and published in 1471 outlets. Our study utilized the SNA tool to examine the author, institution, bibliographic coupling and keyword networks of the SLA domain. The results of our study show that SLA network is relatively fragmented containing several isolated clusters of authors. The study also found that the diameter of the co-authorship network is relatively small and has clustering co-efficient that is high and displays the small world phenomenon. (Konkuk University, Chungnam National University, University of Waikato Management School)