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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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Investigating the Influence of Inverse Preferential Attachment on Network Development
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The Macroscope: A tool for examining the historical structure of language
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spreadr: An R package to simulate spreading activation in a network
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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 orthographic similarity structure of English words: Insights from network science
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THE PHONOGRAPHIC NETWORK OF LANGUAGE: USING NETWORK SCIENCE TO INVESTIGATE THE PHONOLOGICAL AND ORTHOGRAPHIC SIMILARITY STRUCTURE OF LANGUAGE
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Abstract:
Orthographic effects in spoken word recognition and phonological effects in visual word recognition have been observed in a variety of behavioral experimental paradigms, strongly suggesting that a close interrelationship exists between phonology and orthography. However, the metrics used to investigate these effects, such as consistency and neighborhood size, fail to generalize to words of various lengths or syllable structures, and do not take into account the more global similarity structure that exists between phonological and orthographic representations in the language. To address these limitations, the tools of Network Science were used to simultaneously characterize the phonological as well as orthographic similarity structure of words in English within a phonographic multiplex. In this paper, I analyze a section of the phonographic multiplex known as the phonographic network of language, where links are placed between words that are both phonologically and orthographically similar to each other, i.e., a link would be placed between words such as ‘pant’ (/p@nt/) and ‘punt’ (/p^nt/). Conventional psycholinguistic experiments (auditory naming and auditory lexical decision) and an archival analysis of the English Lexicon Project (visual naming and visual lexical decision) were conducted to investigate the influence of two network science metrics derived from the phonographic network—phonographic degree and phonographic clustering coefficient—on spoken and visual word recognition. Results indicated a facilitatory effect of phonographic degree on visual word recognition, and a facilitatory effect of phonographic clustering coefficient on spoken word recognition. The present findings have implications for theoretical models of spoken and visual word recognition, and for increasing our understanding of language learning and language disorders.
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Keyword:
clustering coefficient; Cognitive psychology; Language; language processing; multiplex; network science; Psychology; spoken word recognition; visual word recognition
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URL: http://dissertations.umi.com/ku:15413
http://hdl.handle.net/1808/26028
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Speech error and tip of the tongue diary for mobile devices
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The influence of 2-hop network density on spoken word recognition
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Spoken word recognition and serial recall of words from the giant component and words from lexical islands in the phonological network ...
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Spoken word recognition and serial recall of words from the giant component and words from lexical islands in the phonological network
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