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Publication - Dr Thilo Gross

    Design of Self-Organizing Networks

    Creating specified degree distributions

    Citation

    Silk, H, Homer, M & Gross, T, 2016, ‘Design of Self-Organizing Networks: Creating specified degree distributions’. IEEE Transactions on Network Science and Engineering, vol 3., pp. 147-158

    Abstract

    A key problem in the study and design of complex systems is the apparent disconnection between the microscopic and the macroscopic. It is not straightforward to identify the local interactions that give rise to an observed global phenomenon, nor is it simple to design a system that will exhibit some desired global property using only local knowledge. Here we propose a methodology that allows for the identification of local interactions that give rise to a desired global property of a network, the degree distribution. Given a set of observable processes acting on a network, we determine the conditions that must satisfied to generate a desired steady-state degree distribution. We thereby provide a simple example for a class of tasks where a system can be designed to self-organize to a given state.

    Full details in the University publications repository