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“Conjectural” links in complex networks

Author

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  • Snarskii, A.A.
  • Zorinets, D.I.
  • Lande, D.V.

Abstract

This paper introduces the concept of Conjectural Link for Complex Networks, in particular, social networks. Conjectural Link we understand as an implicit link, not available in the network, but supposed to be present, based on the characteristics of its topology. It is possible, for example, when in the formal description of the network some connections are skipped due to errors, deliberately hidden or withdrawn (e.g. in the case of partial destruction of the network).

Suggested Citation

  • Snarskii, A.A. & Zorinets, D.I. & Lande, D.V., 2016. "“Conjectural” links in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 266-273.
  • Handle: RePEc:eee:phsmap:v:462:y:2016:i:c:p:266-273
    DOI: 10.1016/j.physa.2016.06.077
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    References listed on IDEAS

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    1. Aaron Clauset & Cristopher Moore & M. E. J. Newman, 2008. "Hierarchical structure and the prediction of missing links in networks," Nature, Nature, vol. 453(7191), pages 98-101, May.
    2. Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
    3. Tao Zhou & Linyuan Lü & Yi-Cheng Zhang, 2009. "Predicting missing links via local information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 623-630, October.
    4. Leo Katz, 1953. "A new status index derived from sociometric analysis," Psychometrika, Springer;The Psychometric Society, vol. 18(1), pages 39-43, March.
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