Understanding Human Navigation Using Network Analysis

Topics in Cognitive Science 4 (1):121-134 (2012)
Abstract
We have considered a simple word game called the word-morph. After making our participants play a stipulated number of word-morph games, we have analyzed the experimental data. We have given a detailed analysis of the learning involved in solving this word game. We propose that people are inclined to learn landmarks when they are asked to navigate from a source to a destination. We note that these landmarks are nodes that have high closeness-centrality ranking
Keywords Mathematical modeling  Complex networks  Navigation  Centrality measures  Word‐morph
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