Language Networks: Theory and Application

Contributions of modern network science to the cognitive sciences: Revisiting research spirals of representation and process. (2020)

This paper looks at how network science can be used to understand word-finding, vocabulary development, and cognitive aging. We argue that using tools from network science can help us better understand the human mind.

Castro, N. & Siew, C. S. Q. (2020).  Contributions of modern network science to the cognitive sciences: Revisiting research spirals of representation and process. Proceedings of the Royal Society A, 476(2238), 20190825.

Methodological considerations for incorporating clinical data into a network model of retrieval failures. (2022)

This paper studied word retrieval failures and describes how network science can be used to address constraints in clinical data (e.g., locus of retrieval failure, progression of disorder/disease, heterogeneity of individuals). Thus, demonstrating the need for well-informed network models.

Castro, N. (2022). Methodological considerations for incorporating clinical data into a network model of retrieval failures. Topics in Cognitive Science, 14(1), 111-126. 

Using network science in the language sciences and clinic (2015)

This paper identifies what is network science and how it is used to study language in typical and disordered populations. This paper demonstrates the use of network science in understanding picture naming by people with aphasia. 

Vitevitch, M. S. & Castro, N. (2015). Using network science in the language sciences and clinic. International Journal of Speech-Language Pathology, 17(1), 13-25. doi: 10.3109/17549507.2014.987819