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Center for Nonlinear Studies |
Network Theory has allowed for the study of many complex systems in computer science, physics, and even biology; e.g. the Internet, protein-protein interaction and social relationships. The goal of this project is to apply the well developed analytical tools of Network Theory, such as degree distribution and community finding, to a network of scientific ideas. Some ideas are expected to form communities of distinct fields, such as solid state physics, information theory, or quantum mechanics. By building and analyzing data on these idea networks, this project aims to gain insight into the topology of scientific ideas, how they relate to each other, and how they may merge to form new, independent subfields.