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Growth and optimality in network evolution

Record type: Article

We investigate networks whose evolution is governed by hierarchies, scale-free networks the interaction of a random assembly process and an optimization process. In the first process, new nodes are added one at a time and form connections to randomly selected old nodes. In between node additions, the network is rewired to minimize its path length. For time scales at which neither the assembly nor the optimization processes are dominant, we find a rich variety of complex networks with power law tails in the degree distributions. These networks also exhibit nontrivial clustering, a hierarchical organization, and interesting degree-mixing patterns.

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Citation

Brede, Markus (2011) Growth and optimality in network evolution Artificial Life, 17, (4), pp. 281-291. (doi:10.1162/artl_a_00039).

More information

e-pub ahead of print date: 19 September 2011
Published date: 2011
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 272860
URI: http://eprints.soton.ac.uk/id/eprint/272860
PURE UUID: dcbcf62f-b2fc-49c5-8d6d-b1f69bb4e0db

Catalogue record

Date deposited: 26 Sep 2011 16:25
Last modified: 18 Jul 2017 06:19

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