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Special Topics in Data Analysis and Knowledge Discovery
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 2
408-414

Research on structural diversity of citation network oriented to evaluation of literature

Lu Yingjiea,b
Sheng Likunc
Zhang Yinglongb
a. Department of Computer Science, b. School of College of Physics & Information Engineering, c. Minnan Normal University Library, Minnan Normal University, Zhangzhou Fujian 363000, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0270

Abstract

In reiw of the importance of finding high-quality literature from massive literature, this paper proposed a literature evaluation index—citation structural diversity. It analyzed the feasibility of this model as a literature evaluation index through data analysis experiments on large-scale datasets, and then proposed an improved model to make it more suitable for citation network analysis. The data analysis results show that the structural diversity of citation network is significantly linearly related to the paper citation number, and the structural diversity of citation network is an essential factor affecting the citation number change trend after the publication of the literature. In 85.8% of the citation prediction experiments, structural diversity has improved the performance of models. The combined structural diversity has a prominent effect in the long-term citation prediction experiment, with a maximum increase of 22.19%, an average increase of 14.55% for the determination coefficient R2, and a maximum increase of 22.76%, an average increase of 17.34% for the mean square error MSE.

Foundation Support

国家自然科学基金资助项目(61762036)
福建省自然科学基金资助项目(2023J01922,2021J011007,2021J011008,2022J01916)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0270
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: Special Topics in Data Analysis and Knowledge Discovery
Pages: 408-414
Serial Number: 1001-3695(2024)02-013-0408-07

Publish History

[2023-09-01] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

鲁英杰, 盛立琨, 张应龙. 面向文献评价的引文网络结构多样性研究 [J]. 计算机应用研究, 2024, 41 (2): 408-414. (Lu Yingjie, Sheng Likun, Zhang Yinglong. Research on structural diversity of citation network oriented to evaluation of literature [J]. Application Research of Computers, 2024, 41 (2): 408-414. )

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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