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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
824-830,847

E-commerce network link prediction algorithm based on improved stochastic block model

Shi Yulin
Qian Xiaodong
School of Economics & Management, Lanzhou Jiaotong University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0329

Abstract

To study the evolution process and community structure of e-commerce networks, this paper used an improved stochastic block model(SBM) link prediction algorithm. Since the degree distribution among blocks in the original SBM model was binomial, to make the degree distribution among blocks follow the power law distribution in the stochastic block model, this paper introduced the degree attenuation parameter. Aiming at the assumption that the connection between nodes depended only on the block to which nodes belong in the original SBM model, to make the degree distribution closer to the real network, the paper introduced the degree control parameter. Based on this, the paper proposed an optimized random block model, and used the Alibaba Taobao data set to verify the proposed algorithm. The results show that the accuracy of the proposed algorithm is higher than the SBM, the degree-corrected stochastic block model(DCSBM) and the hierarchical structure model(HBM). It shows that the improved algorithm can describe the community structure of the e-commerce network well and find the missing link in the network accurately.

Foundation Support

国家自然科学基金资助项目(71461017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0329
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Algorithm Research & Explore
Pages: 824-830,847
Serial Number: 1001-3695(2024)03-026-0824-07

Publish History

[2023-11-01] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

史玉林, 钱晓东. 基于改进随机分块模型的电商网络链路预测算法 [J]. 计算机应用研究, 2024, 41 (3): 824-830,847. (Shi Yulin, Qian Xiaodong. E-commerce network link prediction algorithm based on improved stochastic block model [J]. Application Research of Computers, 2024, 41 (3): 824-830,847. )

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.

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