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Optimization of the Critical Diameter and Average Path Length of Social Networks

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  • Haifeng Du
  • Xiaochen He
  • Wei Du
  • Marcus W. Feldman

Abstract

Optimizing average path length (APL) by adding shortcut edges has been widely discussed in connection with social networks, but the relationship between network diameter and APL is generally ignored in the dynamic optimization of APL. In this paper, we analyze this relationship and transform the problem of optimizing APL into the problem of decreasing diameter to 2. We propose a mathematic model based on a memetic algorithm. Experimental results show that our algorithm can efficiently solve this problem as well as optimize APL.

Suggested Citation

  • Haifeng Du & Xiaochen He & Wei Du & Marcus W. Feldman, 2017. "Optimization of the Critical Diameter and Average Path Length of Social Networks," Complexity, Hindawi, vol. 2017, pages 1-11, March.
  • Handle: RePEc:hin:complx:3203615
    DOI: 10.1155/2017/3203615
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    References listed on IDEAS

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    3. Yu, Feng & Li, Yanjun & Wu, Tie-Jun, 2010. "A temporal ant colony optimization approach to the shortest path problem in dynamic scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 629-636.
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    Cited by:

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    2. Ruochen Zhang & Bin Zhu, 2024. "A multiobjective evolutionary algorithm for optimizing the small-world property," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-25, December.

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