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Tuning degree distributions: Departing from scale-free networks

Author

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  • Leary, C.C.
  • Schwehm, M.
  • Eichner, M.
  • Duerr, H.P.

Abstract

Scale-free networks are characterized by a degree distribution with power-law behavior. Although scale-free networks have been shown to arise in many areas, ranging from the World Wide Web to transportation or social networks, degree distributions of other observed networks often differ from the power-law type. Data based investigations require modifications of the typical scale-free network.

Suggested Citation

  • Leary, C.C. & Schwehm, M. & Eichner, M. & Duerr, H.P., 2007. "Tuning degree distributions: Departing from scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 731-738.
    • Handle: RePEc:eee:phsmap:v:382:y:2007:i:2:p:731-738
    DOI: 10.1016/j.physa.2007.04.058
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    References listed on IDEAS

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    1. Guo, Qiang & Zhou, Tao & Liu, Jian-Guo & Bai, Wen-Jie & Wang, Bing-Hong & Zhao, Ming, 2006. "Growing scale-free small-world networks with tunable assortative coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 814-822.
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    3. Latora, Vito & Marchiori, Massimo, 2002. "Is the Boston subway a small-world network?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 109-113.
    4. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
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    Cited by:

    1. Reppas, Andreas I. & Spiliotis, Konstantinos & Siettos, Constantinos I., 2015. "Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 109(C), pages 186-196.

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