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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3304-3309

Influence maximization based on adjacency entropy in heterogeneous information networks

Cun Xuanyi1
Zhou Lihua1,2
1. School of Information Science & Engineering, Yunnan University, Kunming 650500, China
2. Dianchi College of Yunnan University, Kunming 650228, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0138

Abstract

Influence maximization is to study how to find a small number of the most influential nodes in the social network as the source of information diffusion, so as to maximize the scope of information dissemination in the network. Most of the existing researches only focus on homogeneous information networks, but in reality, social networks are heterogeneous networks with multiple object types and multiple relationship types between objects. This paper proposed a meta path based adjacency information entropy(MPAIE) model and a meta graph based adjacency information entropy(MGAIE) model to simulate the social impact in heterogeneous information networks. By setting meta path or meta graph, the proposed method can flexibly integrate the structural and semantic information in heterogeneous networks, and measured the influence of nodes. The effectiveness of MPAIE and MGAIE models is verified on two real datasets.

Foundation Support

国家自然科学基金资助项目(61762090,62062066,61966036)
国家社会科学基金资助项目(18XZZ005)
云南省高等学校科技创新团队资助项目(IRTSTYN)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0138
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3304-3309
Serial Number: 1001-3695(2021)11-018-3304-06

Publish History

[2021-11-05] Printed Article

Cite This Article

寸轩懿, 周丽华. 异质信息网络中基于邻接熵的影响力最大化 [J]. 计算机应用研究, 2021, 38 (11): 3304-3309. (Cun Xuanyi, Zhou Lihua. Influence maximization based on adjacency entropy in heterogeneous information networks [J]. Application Research of Computers, 2021, 38 (11): 3304-3309. )

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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