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An improved sampling method of complex network

Author

Listed:
  • Qi Gao

    (School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China)

  • Xintong Ding

    (School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China)

  • Feng Pan

    (School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China)

  • Weixing Li

    (School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China)

Abstract

Sampling subnet is an important topic of complex network research. Sampling methods influence the structure and characteristics of subnet. Random multiple snowball with Cohen (RMSC) process sampling which combines the advantages of random sampling and snowball sampling is proposed in this paper. It has the ability to explore global information and discover the local structure at the same time. The experiments indicate that this novel sampling method could keep the similarity between sampling subnet and original network on degree distribution, connectivity rate and average shortest path. This method is applicable to the situation where the prior knowledge about degree distribution of original network is not sufficient.

Suggested Citation

  • Qi Gao & Xintong Ding & Feng Pan & Weixing Li, 2014. "An improved sampling method of complex network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(05), pages 1-11.
    • Handle: RePEc:wsi:ijmpcx:v:25:y:2014:i:05:n:s0129183114400075
    DOI: 10.1142/S0129183114400075
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    References listed on IDEAS

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    1. 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.
    2. ., 2006. "Physical and Social Indicators," Chapters, in: Middle East Oil Exporters, chapter 5, Edward Elgar Publishing.
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    Cited by:

    1. Rezvanian, Alireza & Meybodi, Mohammad Reza, 2015. "Sampling social networks using shortest paths," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 254-268.
    2. Wang, Wenting & Shi, Shijie & Fu, Xianghua, 2022. "The subnetwork investigation of scale-free networks based on the self-similarity," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).

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