Algorithm Research & Explore
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1614-1617,1622

Key users mining in micro-blogging topic based on user attributes

Ke Yang
Sui Jie
School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

Considering the timeliness of the microblogging topic and the feature of interaction between the users, on the basis of classical PageRank algorithm, this paper put forward a key user's mining algorithm based on user interaction to effectively find topic-sensitive key users. Firstly, this paper introduced the definition of key users in microblog topic and its relevant characteristics. Secondly, in that the traditional models ignored the influence of user interaction and time attribute, this model fused the time property and the characteristics of interaction between the user together in this model at the first time and then it put forward the MUR algorithm with the combination of the microblogging network structure. Finally, it compared the algorithm with the classical PageRank algorithm and TS algorithm. The experimental results show that the model is more reasonable in terms of timeliness and topic driving, certificating the rationality and validity of the model.

Foundation Support

国家重点研发计划项目(2017YFB0803001)
国家自然科学基金面上项目(61572459)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0795
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Algorithm Research & Explore
Pages: 1614-1617,1622
Serial Number: 1001-3695(2019)06-003-1614-04

Publish History

[2019-06-05] Printed Article

Cite This Article

柯阳, 隋杰. 基于用户特征属性的微博话题关键用户挖掘 [J]. 计算机应用研究, 2019, 36 (6): 1614-1617,1622. (Ke Yang, Sui Jie. Key users mining in micro-blogging topic based on user attributes [J]. Application Research of Computers, 2019, 36 (6): 1614-1617,1622. )

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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