In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 3

Self-adaptive algorithm for ranking important nodes in social networks enhanced by ground graph

Feng Junyou
Chen Lizhou
Liu Xianbo
Xu Xuanxiang
Du Yanhui
College of Information Network Security People's Public Security University of China, Beijing 100038, China
DOI: 10.19734/j.issn.1001-3695.2024.07.0300

Abstract

Important nodes in social networks have a decisive influence on the network structure and function. Developing more accurate ranking algorithms has become one of the current research hotspots. LR (LeaderRank) introduces a Ground node, significantly improving the performance of the classic PageRank. However, it still faces the voting bias problem of users with small out-degrees in the network. Therefore, we propose AGR (Adaptive GraphRank) , a self-adaptive algorithm for ranking important nodes in social networks enhanced by Ground Graph. AGR constructs a multi-node Ground Graph to replace LR's single Ground node and designs a biased random walk based on the H-index to alleviate voting bias. Preliminary parameter experiments determined the optimal scale and structure of the Ground Graph. Comparative experiments with excellent existing algorithms such as K-TOPSIS verified AGR's performance improvements in three key dimensions: propagation, disintegration, and robustness. A real-world case study further demonstrate the effectiveness of the algorithm in practical scenarios. In conclusion, AGR effectively reduces voting bias, improves ranking accuracy, and shows superior performance and application potential.

Foundation Support

中国人民公安大学网络空间安全执法技术双一流专项(2023SYL07)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.07.0300
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-12-11] Accepted Paper

Cite This Article

冯俊又, 陈李舟, 刘先博, 等. 背景图增强的社交网络重要节点自适应排序算法 [J]. 计算机应用研究, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0300. (Feng Junyou, Chen Lizhou, Liu Xianbo, et al. Self-adaptive algorithm for ranking important nodes in social networks enhanced by ground graph [J]. Application Research of Computers, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0300. )

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)