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Algorithm Research & Explore
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3674-3678,3684

Time series link prediction method based on motif evolution and community consistency

Liu Shuxin
Liu Qun
Du Fan
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts & Telecommunications, Chongqing 400065, China

Abstract

In order to solve the problem of time-series link prediction in dynamic directed network, this paper investigated the evolution law of triple motifs over time, and proposed the method to predict the transfer probability of motif based on the time series analysis model of Holter-Winter-Additive. Then it introduced a Newton method to optimize the parameters. At the same time, this algorithm considered the impact of the community attribute of node on link prediction. It also defined the index of community consistency to evaluate the influence of the triad motif. On the basis of this analysis, it adopted the time series analysis model to extract the evolution regulars of motif, and proposed a new temporal link prediction method combining with the community consistency of motif. Lots of comparative experiments have been done in three real networks. The results demonstrate that this approach can effectively improve the link prediction accuracy.

Foundation Support

国家重点研发计划资助项目(2016QY01W0200)
国家自然科学基金资助项目(61572091)
重庆市产业类重点主题专项项目(cstc2017zdcy-zdyfx0091)
重庆市人工智能技术创新重大主题专项重点研发项目(cstc2017rgzn-zdyfx0022)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0594
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3674-3678,3684
Serial Number: 1001-3695(2019)12-033-3674-05

Publish History

[2019-12-05] Printed Article

Cite This Article

刘书新, 刘群, 杜凡. 基于模体演化与社区一致性的时序链路预测方法 [J]. 计算机应用研究, 2019, 36 (12): 3674-3678,3684. (Liu Shuxin, Liu Qun, Du Fan. Time series link prediction method based on motif evolution and community consistency [J]. Application Research of Computers, 2019, 36 (12): 3674-3678,3684. )

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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