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Evidence for preferential attachment: Words that are more well connected in semantic networks are better at acquiring new links in paired-associate learning

Abstract:

Here, we view the mental lexicon as a semantic network where words are connected if they are semantically related. Steyvers and Tenenbaum (Cognitive Science, 29, 41–78, 2005) proposed that the growth of semantic networks follows preferential attachment, the observation that new nodes are more likely to connect to preexisting nodes that are more well connected (i.e., the rich get richer). If this is the case, well-connected known words should be better at acquiring new links than poorly connec...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3758/s13423-020-01773-0

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
Publisher:
Springer
Journal:
Psychonomic Bulletin & Review More from this journal
Volume:
27
Issue:
2020
Pages:
1059–1069
Publication date:
2020-07-07
Acceptance date:
2020-06-23
DOI:
EISSN:
1531-5320
ISSN:
1069-9384
Language:
English
Keywords:
Pubs id:
1118184
Local pid:
pubs:1118184
Deposit date:
2020-07-10

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