On the Impact of Resilience, Inertia, and Information Foraging in Global Participatory Innovation Communities

Abstract

The adaptive cycle of knowledge creation and co-evolution of knowledge networks are simulated to examine what behavioral mechanisms and rules of interaction confer community structures conducive to innovation. Specifically, we use small-world network and clustering coefficient as a proxy metric to study the impact of domain tolerance, receptivity, inertia, and mobility on stability and innovation potential. Preliminary results suggest that medium and high receptivity communities are able to balance integrated differentiation over their lifetime, while growing inertia lead to tension and spillovers. Also, medium and high levels of reward sensitivity consistently generate cohesive collaboration networks.