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  1. What Can Network Science Tell Us About Phonology and Language Processing?Michael S. Vitevitch - 2022 - Topics in Cognitive Science 14 (1):127-142.
    Contemporary psycholinguistic models place significant emphasis on the cognitive processes involved in the acquisition, recognition, and production of language but neglect many issues related to the representation of language-related information in the mental lexicon. In contrast, a central tenet of network science is that the structure of a network influences the processes that operate in that system, making process and representation inextricably connected. Here, we consider how the structure found across phonological networks of several languages from different language families may (...)
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  • Methodological Considerations for Incorporating Clinical Data Into a Network Model of Retrieval Failures.Nichol Castro - 2022 - Topics in Cognitive Science 14 (1):111-126.
    Difficulty retrieving information (e.g., words) from memory is prevalent in neurogenic communication disorders (e.g., aphasia and dementia). Theoretical modeling of retrieval failures often relies on clinical data, despite methodological limitations (e.g., locus of retrieval failure, heterogeneity of individuals, and progression of disorder/disease). Techniques from network science are naturally capable of handling these limitations. This paper reviews recent work using a multiplex lexical network to account for word retrieval failures and highlights how network science can address the limitations of clinical data. (...)
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