The influence of 2-hop network density on spoken word recognition

Abstract

The influence of 2-hop density on spoken word recognition was investigated. 2-hop density measures the density of connections among the phonological neighbors (i.e., 1-hop neighbors) and phonological neighbors of those neighbors (i.e., 2-hop neighbors) of a target word. In both naming and lexical decision tasks, words with low 2-hop density were recognized more quickly than words with high 2-hop density. Because stimuli were selected such that the number of 1-hop and 2-hop neighbors were matched across both sets of words, the results suggest that spoken word recognition is influenced by the amount of connectivity among distant neighbors of the target word-a result that is not easily accommodated by current models of spoken word recognition. A diffusion of activation framework is proposed to account for the present findings.

Keywords: 2-hop network density; Network science; Spoken word recognition.