The application of social network analysis in applied linguistics research: a systematic review

Abstract

Abstract Social network analysis (SNA) has recently drawn increasing scholarly attention in applied linguistics research in response to the social turn in the field. In this review, we analyze and identify the methodological characteristics and topical concerns of articles addressing SNA in Social Science Citation Index (SSCI) journals. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we identify a total of 60 articles published between 1980 and 2023. Our analysis reveals that a growing body of research is adopting qualitative and mixed methods to examine the relationships between social networks and language learning, teaching and use. These findings confirm that social context constitutes an essential part of the ecosystem intertwined with various cognitive, social, and psychological factors, which have a synergistic impact on language learning and teaching. While these studies show that social networks afford learners with valuable linguistic, emotional, and social resources, they reveal that networks may also exert negative influences in their learning behaviors in some contexts. We conclude the review with recommendations for future research to broaden the scope of investigations and consider exploring how different types of social networks at meso- and macro-levels may influence the learning and teaching of language.