The Large‐Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth
The Large‐Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth
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 …