Network growth models: a behavioural basis for attachment proportional to fitness

Michael Bell, Supun Perera, Mahendrarajah Piraveenan, Michiel Bliemer, Tanya Latty, Chris Reid

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)
29 Downloads (Pure)


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.
Original languageEnglish
Article number42431
Number of pages11
JournalScientific Reports
Publication statusPublished - 13 Feb 2017
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


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