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Feature-rich multiplex lexical networks reveal mental strategies of early language learning ...
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Phonological but not semantic influences on the speech-to-song illusion
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What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach
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Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks
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In: Sci Rep (2021)
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Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks
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Investigating the Influence of Inverse Preferential Attachment on Network Development
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In: Entropy (Basel) (2020)
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Phonological but not semantic influences on the speech-to-song illusion
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In: Q J Exp Psychol (Hove) (2020)
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Investigating the Influence of Inverse Preferential Attachment on Network Development
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Abstract:
This work is licensed under a Creative Commons Attribution 4.0 International License. ; Recent work investigating the development of the phonological lexicon, where edges between words represent phonological similarity, have suggested that phonological network growth may be partly driven by a process that favors the acquisition of new words that are phonologically similar to several existing words in the lexicon. To explore this growth mechanism, we conducted a simulation study to examine the properties of networks grown by inverse preferential attachment, where new nodes added to the network tend to connect to existing nodes with fewer edges. Specifically, we analyzed the network structure and degree distributions of artificial networks generated via either preferential attachment, an inverse variant of preferential attachment, or combinations of both network growth mechanisms. The simulations showed that network growth initially driven by preferential attachment followed by inverse preferential attachment led to densely-connected network structures (i.e., smaller diameters and average shortest path lengths), as well as degree distributions that could be characterized by non-power law distributions, analogous to the features of real-world phonological networks. These results provide converging evidence that inverse preferential attachment may play a role in the development of the phonological lexicon and reflect processing costs associated with a mature lexicon structure. ; University of Kansas
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Keyword:
Inverse preferential attachment; Language development; Language networks; Network growth; Preferential attachment
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URL: https://doi.org/10.3390/e22091029 http://hdl.handle.net/1808/30972
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The phonographic language network: Using network science to investigate the phonological and orthographic similarity structure of language.
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The Influence of Closeness Centrality on Lexical Processing
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An account of the Speech-to-Song Illusion using Node Structure Theory
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Using network science in the language sciences and clinic ...
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Using network science in the language sciences and clinic ...
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