In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2679-2683

Influence maximization based on MRLT model in multi-relationships social network

Zhao Yufang
Sun Gengxin
Bin Sheng
College of Data Science & Software Engineering, Qingdao University, Qingdao Shandong 266071, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0162

Abstract

Influence maximization of social network is an optimization problem of finding a set of initial propagation nodes in the network such that the influence range invoked by these nodes is maximized. Most of the existing works have focused on single relation social networks, namely, there is only one relationship in social networks, but in reality, there are a variety of relationships between users of social networks, and these relationships affect the propagation of network information and the influence scope. This paper proposed the MRLT information propagation model, which based on the linear threshold model, combined with the various relationships existing between network nodes, and modeled the influence between nodes. And it proposed the MR-RRset algorithm based on reverse reachable set to solve the problem of low computational performance caused by greedy algorithm in the process of traditional influence maximization research. Finally, the experimental comparison on real data sets demonstrates that the proposed method has better influence propagation range and larger performance improvement.

Foundation Support

国家教育部人文社会科学研究青年项目(15YJC860001)
山东省自然基金面上项目(ZR2017MG011)
山东省社会科学规划项目(17CHLJ16)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0162
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2679-2683
Serial Number: 1001-3695(2020)09-023-2679-05

Publish History

[2020-09-05] Printed Article

Cite This Article

赵玉芳, 孙更新, 宾晟. 基于MRLT模型多关系社交网络影响力最大化研究 [J]. 计算机应用研究, 2020, 37 (9): 2679-2683. (Zhao Yufang, Sun Gengxin, Bin Sheng. Influence maximization based on MRLT model in multi-relationships social network [J]. Application Research of Computers, 2020, 37 (9): 2679-2683. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)