Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence

TL;DR

This paper introduces a framework for analyzing knowledge integration and diffusion using diversity and coherence, emphasizing the importance of cognitive distance between knowledge categories, along with visualization tools.

Contribution

It presents a novel framework that incorporates cognitive proximity into measures of knowledge diversity and coherence, enhancing understanding of knowledge dynamics.

Findings

Inclusion of cognitive distance improves analysis of knowledge integration.

Visualization methods aid in interpreting complex knowledge maps.

Framework offers new insights into knowledge diffusion processes.

Abstract

I present a framework based on the concepts of diversity and coherence for the analysis of knowledge integration and diffusion. Visualisations that help understand insights gained are also introduced. The key novelty offered by this framework compared to previous approaches is the inclusion of cognitive distance (or proximity) between the categories that characterise the body of knowledge under study. I briefly discuss the different methods to map the cognitive dimension.