Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific

The patterns and dynamics that govern the flow of concepts and the association of information for various scientific domains, are not well understood in the realm of knowledge evolution and organisation. To that end, we look at using concept networks to capture the associations between these concepts as a domain grows. We compare concept networks as they grow for scientific domains, sci-fi literature, common news topics and science news, using Quantum Spectral Jensen-Shannon Divergence, to evaluate how consistent their network structures are at their early stages. We find that everyday concept networks tend to be more consistent with each other, whereas scientific networks are less consistent and we discuss the potential factors influencing the structures of these networks.