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- W4300486091 abstract "Several growth models have been proposed in the literature for scale-free complex networks, with a range of fitness-based attachment models gaining prominence recently. However, the processes by which such fitness-based attachment behaviour can arise are less well understood, making it difficult to compare the relative merits of such models. This paper analyses an evolutionary mechanism that would give rise to a fitness-based attachment process. In particular, it is proven by analytical and numerical methods that in homogeneous networks, the minimisation of maximum exposure to node unfitness leads to attachment probabilities that are proportional to node fitness. This result is then extended to heterogeneous networks, with supply chain networks being used as an example." @default.
- W4300486091 created "2022-10-03" @default.
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- W4300486091 date "2017-02-13" @default.
- W4300486091 modified "2023-09-26" @default.
- W4300486091 title "Network growth models: A behavioural basis for attachment proportional to fitness" @default.
- W4300486091 doi "https://doi.org/10.48550/arxiv.1702.04046" @default.
- W4300486091 hasPublicationYear "2017" @default.
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