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Complex network comparison using random walks

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Published:07 April 2014Publication History

ABSTRACT

In this paper, we proposed a network comparison method based on the mathematical theory of diffusion over manifolds using random walks over graphs. We show that our method not only distinguishes between graphs with different degree distributions, but also different graphs with the same degree distributions. We compare the undirected power law graphs generated by Barabasi-Albert model and directed power law graphs generated by Krapivsky's model to the random graphs generated by Erdos-Renyi model. We also compare power law graphs generated by four different generative models with the same degree distribution.

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    • Published in

      cover image ACM Other conferences
      WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
      April 2014
      1396 pages
      ISBN:9781450327459
      DOI:10.1145/2567948

      Copyright © 2014 ACM

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      New York, NY, United States

      Publication History

      • Published: 7 April 2014

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