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Spatial growth of real-world networks

Lookup NU author(s): Professor Marcus Kaiser

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Abstract

Many real-world networks have properties of small-world networks, with clustered local neighborhoods and low average-shortest path. They may also show a scale-free degree distribution, which can be generated by growth and preferential attachment to highly connected nodes, or hubs. However, many real-world networks consist of multiple, interconnected clusters not normally seen in systems grown by preferential attachment, and there also exist real-world networks with a scale-free degree distribution that do not contain highly connected hubs. We describe spatial-growth mechanisms, not using preferential attachment, that address both aspects.


Publication metadata

Author(s): Kaiser M, Hilgetag CC

Publication type: Article

Publication status: Published

Journal: Physical Review E

Year: 2004

Volume: 69

Issue: 3

ISSN (print): 1539-3755

ISSN (electronic): 1550-2376

Publisher: American Physical Society

URL: http://dx.doi.org/10.1103/PhysRevE.69.036103

DOI: 10.1103/PhysRevE.69.036103


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