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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 10
2943-2949

Homology analysis of diffusion results

Yang Xuan1
Xu Beicheng2
Yao Chang3
Huang Hao2
1. Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
2. School of Computer Science, Wuhan University, Wuhan 430072, China
3. College of Computer Science & Technology, Zhejiang University, Hangzhou 310027, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0141

Abstract

The homology analysis of diffusion results aimed to identify which historical diffusion results were produced by the same set of diffusion sources. This paper used Bernoulli mixture model to solve this problem. The diffusion results generated by the same group of sources corresponded to the same Bernoulli component, and the parameters of the corresponding Bernoulli component reflected the arrival probability of the sources' influence at each point. Then it constructed the log-likelihood function based on the model and the observed data, and used the EM algorithm to calculate the Bernoulli parameters in the log-likelihood function to determine the results of homology analysis. A large number of experimental results verify that compared with the traditional clustering algorithm, the proposed algorithm in this paper can get higher accuracy of the homologous clustering. That is to say, the proposed algorithm can perform homology analysis on the propagation result data more efficiently and accurately.

Foundation Support

国家自然科学基金资助项目(61976163)
浙江省博士后基金资助项目(ZJ2021017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0141
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 2943-2949
Serial Number: 1001-3695(2022)10-008-2943-07

Publish History

[2022-06-02] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

杨旋, 徐贝澄, 姚畅, 等. 传播结果的同源分析 [J]. 计算机应用研究, 2022, 39 (10): 2943-2949. (Yang Xuan, Xu Beicheng, Yao Chang, et al. Homology analysis of diffusion results [J]. Application Research of Computers, 2022, 39 (10): 2943-2949. )

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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