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Soft Computing

, Volume 22, Issue 13, pp 4169–4174 | Cite as

An efficient approach to understanding social evolution of location-focused online communities in location-based services

  • Fei Hao
  • Doo-Soon Park
  • Dae-Soo Sim
  • Min Jeong Kim
  • Young-Sik Jeong
  • Jong-Hyuk Park
  • Hyung-Seok Seo
Focus

Abstract

The booming and novel emerging promising technologies on ubiquitous computing, GPS positioning, are facilitating the development of location-based services (LBSs). Particularly, understanding the dynamic topological structures of mobile users in LBSs who visit the same physical locations has many meaningful applications including friend recommendation, location-sensitive items recommendation, and privacy management. In this paper, we proposed a novel m-triadic concept-based approach for uncovering the social evolution of location-focused online communities in LBSs. Firstly, an m-triadic concept-based location-focused online communities detection approach is presented. Further, the social evolution of the community is characterized by the time series triadic concepts in which the objectives contain the targeted users.

Keywords

LBSs Location-focused online communities M-triadic concepts Time series triadic concepts Social evolution 

Notes

Acknowledgements

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2014-0-00720) supervised by the IITP (Institute for Information & communications Technology Promotion) and the National Research Foundation of Korea (No. NRF-2017R1A2B1008421) and partly supported by Fundamental Research Funds for the Central Universities, China (No. GK201703059) and Shanxi Scholarship Council of China (No. 2015-068).

Compliance with ethical standards

Conflict of interest

Fei Hao, Doo-Soon Park, Dae-Soo Sim, Min Jeong Kim, Young-Sik Jeong, Jong-Hyuk Park, and Hyung-Seok Seo have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Fei Hao
    • 1
    • 2
  • Doo-Soon Park
    • 3
  • Dae-Soo Sim
    • 3
  • Min Jeong Kim
    • 3
  • Young-Sik Jeong
    • 4
  • Jong-Hyuk Park
    • 5
  • Hyung-Seok Seo
    • 6
  1. 1.Key Laboratory of Modern Teaching TechnologyMinistry of EducationXi’anChina
  2. 2.School of Computer ScienceShaanxi Normal UniversityXi’anChina
  3. 3.Department of Computer Software EngineeringSoonchunhyang UniversityAsanKorea
  4. 4.Department of Multimedia EngineeringDongguk UniversitySeoulKorea
  5. 5.Department of Computer Science and EngineeringSeoul National University of Science and TechnologySeoulKorea
  6. 6.Department of Health ScienceKonyang UniversityNonsanKorea

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