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Noisy scale-free networks

Author

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  • Scholz, Jan
  • Dejori, Mathäus
  • Stetter, Martin
  • Greiner, Martin

Abstract

The impact of observational noise on the analysis of scale-free networks is studied. Various noise sources are modeled as random link removal, random link exchange and random link addition. Emphasis is on the resulting modifications for the node-degree distribution and for a functional ranking based on betweenness centrality. The implications for estimated gene-expressed networks for childhood acute lymphoblastic leukemia are discussed.

Suggested Citation

  • Scholz, Jan & Dejori, Mathäus & Stetter, Martin & Greiner, Martin, 2005. "Noisy scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 622-642.
    • Handle: RePEc:eee:phsmap:v:350:y:2005:i:2:p:622-642
    DOI: 10.1016/j.physa.2004.11.012
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    References listed on IDEAS

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    1. Krause, Wolfram & Glauche, Ingmar & Sollacher, Rudolf & Greiner, Martin, 2004. "Impact of network structure on the capacity of wireless multihop ad hoc communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(3), pages 633-658.
    2. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906, Decembrie.
    3. E. Almaas & B. Kovács & T. Vicsek & Z. N. Oltvai & A.-L. Barabási, 2004. "Global organization of metabolic fluxes in the bacterium Escherichia coli," Nature, Nature, vol. 427(6977), pages 839-843, February.
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    Cited by:

    1. Kuhnt, Mathias & Glauche, Ingmar & Greiner, Martin, 2007. "Impact of observational incompleteness on the structural properties of protein interaction networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 759-769.

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