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Special Topics in Social Network Analysis & Discovery
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 1
48-55

Community discovery of public opinion social network based on improved label propagation algorithm

Qian Xiaodonga
Wang Zhuob
a. School of Economics & Management, b. School of Electronic & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2024.06.0194

Abstract

This paper studied the discovery of social topics in social networks using an improved label propagation algorithm. To address the problem of traditional algorithms easily falling into local optima, it selected neighbor nodes during label propagation based on the similarity between nodes. To solve the randomness issue in label updates of traditional algorithms, it used the node influence to update labels by incorporating the opinion interaction process from the HK opinion dynamics model. The experimental results show that the proposed method, in the best case(k=0.9), improves stability by 31% and modularity by 78% compared to the original algorithm and outperforms several other improved algorithms. It demonstrates that the proposed algorithm performs better in discovering topic communities in social opinion networks compared to the original algorithm and other improved algorithms.

Foundation Support

甘肃省自然科学基金资助项目(23JRRA898)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0194
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 1
Section: Special Topics in Social Network Analysis & Discovery
Pages: 48-55
Serial Number: 1001-3695(2025)01-007-0048-08

Publish History

[2025-01-05] Printed Article

Cite This Article

钱晓东, 王卓. 基于改进标签传播算法的舆情社交网络社区发现 [J]. 计算机应用研究, 2025, 42 (1): 48-55. (Qian Xiaodong, Wang Zhuo. Community discovery of public opinion social network based on improved label propagation algorithm [J]. Application Research of Computers, 2025, 42 (1): 48-55. )

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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