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Community Structure Based Shortest Path Finding for Social Networks

  • Yale Chai
  • Chunyao Song
  • Peng Nie
  • Xiaojie Yuan
  • Yao Ge
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11029)

Abstract

With the rapid expansion of communication data, research about analyzing social networks has become a hotspot. Finding the shortest path (SP) in social networks can help us to investigate the potential social relationships. However, it is an arduous task, especially on large-scale problems. There have been many previous studies on the SP problem, but very few of them considered the peculiarity of social networks. This paper proposed a community structure based method to accelerate answering the SP problem of social networks during online queries. We devise a two-stage strategy to strike a balance between offline pre-computation and online consultations. Our goal is to perform fast and accurate online approximations. Experiments show that our method can instantly return the SP result while satisfying accuracy constraint.

Keywords

Shortest path Social network Community structure 

Notes

Acknowledgments

This work was supported in part by the National Nature Science Foundation of China under the grants 61702285 and 61772289, the Natural Science Foundation of Tianjin under the grants 17JCQNJC00200, and the Fundamental Research Funds for the Central Universities under the grants 63181317.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Yale Chai
    • 1
  • Chunyao Song
    • 1
  • Peng Nie
    • 1
  • Xiaojie Yuan
    • 1
  • Yao Ge
    • 1
  1. 1.College of Computer and Control EngineeringNankai UniversityTianjinPeople’s Republic of China

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