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Potential links by neighbor communities

Author

Listed:
  • Xie, Zheng
  • Dong, Enming
  • Li, Jianping
  • Kong, Dexing
  • Wu, Ning

Abstract

The probability of two nodes to be linked is related to their similarities in the network. Based on statistical inference, a network-structure similarity index, therefore, is proposed to find the potential links. This index quantifies the effects of the node communities on these links. And an algorithm for the index is also successfully designed. The experiments on several networks with ground-truth groups and temporal attributes reveal that two nodes are likely to be connected if some of their neighbor nodes are in common communities. The results from these experiments with tested networks, several of which cover more than a million nodes, show the reliability of the index and the advantage of its algorithm.

Suggested Citation

  • Xie, Zheng & Dong, Enming & Li, Jianping & Kong, Dexing & Wu, Ning, 2014. "Potential links by neighbor communities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 244-252.
    • Handle: RePEc:eee:phsmap:v:406:y:2014:i:c:p:244-252
    DOI: 10.1016/j.physa.2014.03.061
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    Citations

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    Cited by:

    1. Wang, Xiaojie & Zhang, Xue & Zhao, Chengli & Xie, Zheng & Zhang, Shengjun & Yi, Dongyun, 2015. "Predicting link directions using local directed path," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 260-267.
    2. Zheng Xie & Xiaojun Duan & Zhenzheng Ouyang & Pengyuan Zhang, 2015. "Quantitative Analysis of the Interdisciplinarity of Applied Mathematics," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-11, September.
    3. Nadaï, Alain & Labussière, Olivier & Debourdeau, Ariane & Régnier, Yannick & Cointe, Béatrice & Dobigny, Laure, 2015. "French policy localism: Surfing on ‘Positive Energie Territories’ (Tepos)," Energy Policy, Elsevier, vol. 78(C), pages 281-291.
    4. Huang, Qiangjuan & Zhao, Chengli & Wang, Xiaojie & Zhang, Xue & Yi, Dongyun, 2015. "Predicting the structural evolution of networks by applying multivariate time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 470-480.
    5. Curran, Giorel, 2017. "Social licence, corporate social responsibility and coal seam gas: framing the new political dynamics of contestation," Energy Policy, Elsevier, vol. 101(C), pages 427-435.
    6. Ghosh, Sumita, 2021. "Urban agriculture potential of home gardens in residential land uses: A case study of regional City of Dubbo, Australia," Land Use Policy, Elsevier, vol. 109(C).
    7. Xie, Zheng & Ouyang, Zhenzheng & Li, Jianping, 2016. "A geometric graph model for coauthorship networks," Journal of Informetrics, Elsevier, vol. 10(1), pages 299-311.

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