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Constructing a Watts-Strogatz network from a small-world network with symmetric degree distribution

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  • Mozart B C Menezes
  • Seokjin Kim
  • Rongbing Huang

Abstract

Though the small-world phenomenon is widespread in many real networks, it is still challenging to replicate a large network at the full scale for further study on its structure and dynamics when sufficient data are not readily available. We propose a method to construct a Watts-Strogatz network using a sample from a small-world network with symmetric degree distribution. Our method yields an estimated degree distribution which fits closely with that of a Watts-Strogatz network and leads into accurate estimates of network metrics such as clustering coefficient and degree of separation. We observe that the accuracy of our method increases as network size increases.

Suggested Citation

  • Mozart B C Menezes & Seokjin Kim & Rongbing Huang, 2017. "Constructing a Watts-Strogatz network from a small-world network with symmetric degree distribution," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-9, June.
    • Handle: RePEc:plo:pone00:0179120
    DOI: 10.1371/journal.pone.0179120
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    Cited by:

    1. Mittal, Anuj & Krejci, Caroline C. & Dorneich, Michael C., 2019. "An agent-based approach to designing residential renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 1008-1020.

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