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Complex scale-free networks

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  • Jeong, Hawoong

Abstract

Systems as diverse as the world wide web or the cell are described by networks with complex topology. Traditionally it has been assumed that these networks are random. However, recent studies indicate that such complex systems emerge as a result of self-organizing processes governed by simple but generic laws, resulting in topologies strikingly different from those predicted by random networks. Such studies also lead to a paradigm shift regarding our approach to complex networks, allowing us to view them as dynamical systems rather than static graphs. In this paper, we briefly review the network models and discuss recent empirical results on network topology and the implications of these findings, including Internet and biological application.

Suggested Citation

  • Jeong, Hawoong, 2003. "Complex scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(1), pages 226-237.
    • Handle: RePEc:eee:phsmap:v:321:y:2003:i:1:p:226-237
    DOI: 10.1016/S0378-4371(02)01774-0
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    Citations

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    Cited by:

    1. Laurie A. Schintler & Aura Reggiani & Rajendra Kulkarni & Peter Nijkamp, 2003. "Scale-Free Phenomena in Communication Networks: A Cross-Atlantic Comparison," ERSA conference papers ersa03p436, European Regional Science Association.
    2. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Network Structures in the German Commuting," Networks and Spatial Economics, Springer, vol. 11(4), pages 621-641, December.
    3. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network," International Regional Science Review, , vol. 34(2), pages 230-252, April.
    4. Saniee Monfared, Momhammad Ali & Jalili, Mahdi & Alipour, Zohreh, 2014. "Topology and vulnerability of the Iranian power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 24-33.

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