Nature Communications (Nov 2019)
Clustering knowledge and dispersing abilities enhances collective problem solving in a network
Abstract
Using agent-based models of a problem-solving task in a network, the authors show that clustering people of similar knowledge maintains solution diversity and increases long run system collective performance. Clustering those with similar abilities, however, lowers solution diversity and performance.