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https://hdl.handle.net/2440/102595
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Type: | Journal article |
Title: | Structure at every scale: a semantic network account of the similarities between unrelated concepts |
Author: | De Deyne, S. Navarro, D. Perfors, A. Storms, G. |
Citation: | Journal of Experimental Psychology: General, 2016; 145(9):1228-1254 |
Publisher: | American Psychological Association |
Issue Date: | 2016 |
ISSN: | 1939-2222 1939-2222 |
Statement of Responsibility: | Simon De Deyne, Daniel J. Navarro, Amy Perfors, Gert Storms |
Abstract: | Similarity plays an important role in organizing the semantic system. However, given that similarity cannot be defined on purely logical grounds, it is important to understand how people perceive similarities between different entities. Despite this, the vast majority of studies focus on measuring similarity between very closely related items. When considering concepts that are very weakly related, little is known. In this article, we present 4 experiments showing that there are reliable and systematic patterns in how people evaluate the similarities between very dissimilar entities. We present a semantic network account of these similarities showing that a spreading activation mechanism defined over a word association network naturally makes correct predictions about weak similarities, whereas, though simpler, models based on direct neighbors between word pairs derived using the same network cannot. |
Keywords: | word associations; similarity; semantic networks; random walks |
Rights: | © 2016 American Psychological Association |
DOI: | 10.1037/xge0000192 |
Grant ID: | http://purl.org/au-research/grants/arc/DE140101749 http://purl.org/au-research/grants/arc/FT110100431 http://purl.org/au-research/grants/arc/DE120102378 IDO/07/002 |
Published version: | http://ovidsp.tx.ovid.com.proxy.library.adelaide.edu.au/sp-3.22.1b/ovidweb.cgi?&S=OHCPFPDPILDDCNPJNCHKPGMCBCFFAA00&Link+Set=S.sh.22.23.27.31%7C10%7Csl_10 |
Appears in Collections: | Aurora harvest 7 Psychology publications |
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