Author:
Valba Olga,Gorsky Alexander
Abstract
AbstractIt is important to reveal the mechanisms of propagation in different cognitive networks. In this study, we discuss the k-clique percolation phenomenon as related to the free association networks including the English Small World of Words project (SWOW-EN). We compared different semantic networks and networks of free associations for various languages. Surprisingly, k-clique percolation for all $$k<k_c=$$
k
<
k
c
=
6–7 is possible on free association networks of different languages. Our analysis suggests new universality patterns for a community organization of free association networks. We conjecture that our result can provide a qualitative explanation of Miller’s $$7\pm 2$$
7
±
2
rule for the capacity limit of working memory. A new model of network evolution extending the preferential attachment is suggested, providing the observed value of $$k_c$$
k
c
.
Funder
Russian Foundation for Basic Research
Publisher
Springer Science and Business Media LLC
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