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Direct linkSteyvers, Mark; Tenenbaum, Joshua B. – Cognitive Science, 2005
We present statistical analyses of the large-scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small-world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of…
Descriptors: Semantics, Internet, Associative Learning, Statistical Analysis
PDF pending restorationGinsburg, G. P. – 1972
This study was designed to examine the relationship between associative clustering, creative potential, and the slope of associative hierarchies. It was predicted that people whose verbal associations are organized into neatly separated clusters will have lower creative potentials as measured by the Remote Associates Test (RAT) and steeper slopes…
Descriptors: Association (Psychology), Associative Learning, Cluster Grouping, Cognitive Processes
Nelson, Thomas O.; Smith, Edward E. – Journal of Experimental Psychology, 1972
Both acquisition and retention were better when the hierarchy was learned graphically rather than as a list of associations, although the effect was greater on acquisition than on retention. (Authors)
Descriptors: Associative Learning, Cluster Grouping, Cognitive Processes, Data Analysis
