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Subordinate Relationship Discovery Method Based on Directed Link Prediction

  • He Nai
  • Min Lin
  • Hao JiangEmail author
  • Huifang Liu
  • Haining Ye
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11910)

Abstract

The subordinate relationship is the important relationship of the users in an enterprise. However, traditional knowledge discovery method cannot found this relationship. The directed link prediction can get the direction information of the nodes, and this direction information also reflect some subordinate relationship. In this paper, we propose a directed link prediction method to get the potential direction relationship in a network and judging the relationship between users in the network through a directed connection. Because the subordinate relationship cannot get directly, so we use the relationship recurrence rate to verify the effectiveness. The experiment proves that the prosed directed link prediction method can discover the relationship of users, and there is a stable relationship between users.

Keywords

Subordinate relationship Knowledge discovery Link prediction Directed 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • He Nai
    • 1
  • Min Lin
    • 2
  • Hao Jiang
    • 1
    Email author
  • Huifang Liu
    • 2
  • Haining Ye
    • 2
  1. 1.School of Electronic InformationWuhan UniversityWuhanChina
  2. 2.China Unicom Group Co., Ltd., Guangdong BranchGuangzhouChina

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