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• W1794316282 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." @default.
• W1794316282 created "2016-06-24" @default.
• W1794316282 creator A5002834303 @default.
• W1794316282 creator A5054087956 @default.
• W1794316282 creator A5076436751 @default.
• W1794316282 date "2015-10-16" @default.
• W1794316282 modified "2023-09-27" @default.
• W1794316282 title "Design of Self-Organising Networks" @default.
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• W1794316282 hasPublicationYear "2015" @default.
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