Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 4
1188-1193

Cooperation based personalized link prediction algorithm in LBSN

Hu Min1,2
Cui Yongsheng1
Huang Hongcheng1
Chen Yuanhui1
1. School of Communication & Information Engineering, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
2. Chongqing Engineering Research Center of Communication Software, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0768

Abstract

There is a certain internal relationship between user links and location links in location-based social network(LBSN), and different users also have different behaviors in the network. Therefore, view of the above problem, this paper proposed a cooperation based personalized link prediction algorithm(CPP) in LBSN. For the user's personalized features, the algorithm used the kernel density estimation method to model the user's time and spatial dimensions. It used the interest groups to divide the users into overlapping communities, and performed the personalized user link prediction through the community, friends and sign-in relationships. Based on the prediction of the personalized user link, it predicted personalized link relationship between users and locations via the random walk algorithm with community restarting. The CPP algorithm improved the performance by the iteration of the user link prediction and the location link prediction. The experimental results show that the CPP algorithm has better prediction performance than that of the existing algorithms.

Foundation Support

国家自然科学基金资助项目(61871062)
重庆邮电大学科研基金资助项目(A2018-07)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0768
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Network & Communication
Pages: 1188-1193
Serial Number: 1001-3695(2020)04-050-1188-06

Publish History

[2020-04-05] Printed Article

Cite This Article

胡敏, 崔永胜, 黄宏程, 等. LBSN协作式个性化链接预测算法 [J]. 计算机应用研究, 2020, 37 (4): 1188-1193. (Hu Min, Cui Yongsheng, Huang Hongcheng, et al. Cooperation based personalized link prediction algorithm in LBSN [J]. Application Research of Computers, 2020, 37 (4): 1188-1193. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)