Spatial growth of real-world networks

Marcus Kaiser and Claus C. Hilgetag
Phys. Rev. E 69, 036103 – Published 9 March 2004
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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.

  • Received 24 July 2003

DOI:https://doi.org/10.1103/PhysRevE.69.036103

©2004 American Physical Society

Authors & Affiliations

Marcus Kaiser*

  • School of Engineering and Science, International University Bremen, Campus Ring 6, 28759 Bremen, Germany

Claus C. Hilgetag

  • School of Engineering and Science, International University Bremen, Campus Ring 6, 28759 Bremen, Germany
  • Department of Health Sciences, Boston University, Boston, Massachusetts 02215, USA

  • *Corresponding author. Electronic address: m.kaiser@iu-bremen.de

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Vol. 69, Iss. 3 — March 2004

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