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Autor/inn/en | Morais, Ana Sofia; Olsson, Henrik; Schooler, Lael J. |
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Titel | Mapping the Structure of Semantic Memory |
Quelle | In: Cognitive Science, 37 (2013) 1, S.125-145 (21 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0364-0213 |
DOI | 10.1111/cogs.12013 |
Schlagwörter | Memory; Semantics; Interviews; Association (Psychology); Associative Learning; Networks; Word Recognition; Undergraduate Students; Foreign Countries; Cues; Sampling; Germany |
Abstract | Aggregating snippets from the semantic memories of many individuals may not yield a good map of an individual's semantic memory. The authors analyze the structure of semantic networks that they sampled from individuals through a new snowball sampling paradigm during approximately 6 weeks of 1-hr daily sessions. The semantic networks of individuals have a small-world structure with short distances between words and high clustering. The distribution of links follows a power law truncated by an exponential cutoff, meaning that most words are poorly connected and a minority of words has a high, although bounded, number of connections. Existing aggregate networks mirror the individual link distributions, and so they are not scale-free, as has been previously assumed; still, there are properties of individual structure that the aggregate networks do not reflect. A simulation of the new sampling process suggests that it can uncover the true structure of an individual's semantic memory. (Contains 4 tables, 2 figures, and 3 notes.) (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |