Growth and optimality in network evolution

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


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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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1162/artl_a_00039
Organisations: Agents, Interactions & Complexity
ePrint ID: 272860
Date :
Date Event
19 September 2011e-pub ahead of print
Date Deposited: 26 Sep 2011 16:25
Last Modified: 17 Apr 2017 17:38
Further Information:Google Scholar

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