Network analysis for modeling complex systems in SLA research

Abstract Network analysis is a method used to explore the structural relationships between people or organizations, and more recently psychological constructs. novel technique that can be model constructs influence language learning as complex systems, with longitudinal data, cross-sectional data. The majority of dynamic systems theory (CDST) research in field second acquisition (SLA) date has been time-intensive, focus on analyzing intraindividual variation dense data collection. question how from perspective using relation-intensive methods an underexplored dimension CDST applied linguistics. To expand our agenda, we highlight potential networks have for studying individual differences learning. We provide two empirical examples network models datasets are publicly available online. believe this methodology complement time-intensive approaches it contribute development new dimensions