Algorithm Research & Explore
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1960-1964

Effective model for measuring node influence on temporal network

Han Zhongminga,b
Mao Ruia
Zheng Chenyea
Zhao Zhendonga
Duan Dagaoa
a. Dept. of Computer, School of Computer Science & Information Engineering, b. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology & Business University, Beijing 100048, China

Abstract

Measuring node influence on network is an important question of online social network analysis. Currently, the main related research focus on influence of static networks. Essentially, social networks are dynamic networks. Although models for measuring node influence on static networks can be used to measure node influence in different snapshots of a temporal network, it is difficult to describe the dynamic process of node influence. This paper viewed a dynamic network as a series of snapshots at different time points. It constructed the mechanisms of edge weight attenuation and node influence attenuation. Based on the attenuation mechanism, this paper proposed a model for measuring node influence on dynamic networks, which could be applied to weighted or unweighted dynamic networks. In order to evaluate the performance of proposed model, it conducted comprehensive experiments on a simulated network and three real networks. The experimental results show that proposed model can not only describe the influence dynamic process for different nodes, but also effectively measure the node influence in dynamic networks.

Foundation Support

国家自然科学基金资助项目(61170112)
北京市自然科学基金资助项目(4172016)
北京市科技计划课题(Z161100001616004)
北京市教委科研计划面上项目(KM201710011006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0847
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 1960-1964
Serial Number: 1001-3695(2019)07-009-1960-05

Publish History

[2019-07-05] Printed Article

Cite This Article

韩忠明, 毛锐, 郑晨烨, 等. 一种有效的动态网络节点影响力模型 [J]. 计算机应用研究, 2019, 36 (7): 1960-1964. (Han Zhongming, Mao Rui, Zheng Chenye, et al. Effective model for measuring node influence on temporal network [J]. Application Research of Computers, 2019, 36 (7): 1960-1964. )

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.

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