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Spatial Growth of Real-world Networks

Marcus Kaiser·Claus C. Hilgetag
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Abstract

Many real-world networks have properties of small-world networks, with clustered local neighborhoods and low average-shortest path (ASP). 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, inter-connected 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.

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Marcus Kaiser, Claus C. Hilgetag. 2003-12-01. Spatial Growth of Real-world Networks. https://doi.org/10.1103/physreve.69.036103

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