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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
