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dc.contributor.authorVitevitch, Michael S.
dc.contributor.authorErcal, Güneş
dc.contributor.authorAdagarla, Bhargav
dc.date.accessioned2016-09-08T13:48:22Z
dc.date.available2016-09-08T13:48:22Z
dc.date.issued2011
dc.identifier.issn1664-1078
dc.identifier.urihttp://hdl.handle.net/11413/1468
dc.description.abstractNetwork science describes how entities in complex systems interact, and argues that the structure of the network influences processing. Clustering coefficient, C one measure of network structure refers to the extent to which neighbors of a node are also neighbors of each other. Previous simulations suggest that networks with low C dissipate information (or disease) to a large portion of the network, whereas in networks with high C information (or disease) tends to be constrained to a smaller portion of the network (Newman, 2003). In the present simulation we examined how C influenced the spread of activation to a specific node, simulating retrieval of a specific lexical item in a phonological network. The results of the network simulation showed that words with lower C had higher activation values (indicating faster or more accurate retrieval from the lexicon) than words with higher C. These results suggest that a simple mechanism for lexical retrieval can account for the observations made in Chan and Vitevitch (2009), and have implications for diffusion dynamics in other fields.tr_TR
dc.language.isoen_UStr_TR
dc.publisherFrontiers Research Foundation, Po Box 110, Lausanne, 1015, Switzerlandtr_TR
dc.relationFrontiers In Psychologytr_TR
dc.subjectnetwork sciencetr_TR
dc.subjectsimulationtr_TR
dc.subjectclustering coefficienttr_TR
dc.subjectmental lexicontr_TR
dc.subjectword recognitiontr_TR
dc.subjectağ bilimitr_TR
dc.subjectsimülasyontr_TR
dc.subjectkümeleme katsayısıtr_TR
dc.subjectzihinsel sözlüğütr_TR
dc.subjectkelime tanımatr_TR
dc.titleSimulating Retrieval From A Highly Clustered Network: Implications For Spoken Word Recognitiontr_TR
dc.typeArticletr_TR
dc.identifier.wos208863800183
dc.identifier.wos208863800183en
dc.identifier.scopus2-s2.0-84862245605
dc.identifier.scopus2-s2.0-84862245605en


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