Algorithm Research & Explore
|
381-384,406

User identity linkage across social network based on user relations

Liu Qifeia
Du Yanhuia,b
Lu Tianlianga,b
a. Information Technology & Network Security Institute, b. CIC of Security & Law for Cyberspace, People's Public Security University of China, Beijing 100038, China

Abstract

In order to distinguish the accounts that belong to the same person, this paper proposed a method to link user identity across social networks based on user relations. Firstly, it designed a user relations feature extraction module based on network representation learning. It could embed large information networks into low-dimensional vector spaces. Secondly, it proposed CSN_LINE algorithm for heterogeneous information network. The improved algorithm could represent network combining with anchor links across networks. Finally, this paper constructed a user identity linkage model based on multi-layer perception. Experiments show that the F1 rate and accuracy rate of this method increase over 12% compared with the current advanced algorithm, which proves the validity and rationality of the method.

Foundation Support

国家重点研发计划重点专项项目(2017YFB0802804)
国家自然科学基金资助项目(61602489)
中国人民公安大学2018年基本科研业务费科研机构项目(2018JKF504)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0517
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 381-384,406
Serial Number: 1001-3695(2020)02-013-0381-04

Publish History

[2020-02-05] Printed Article

Cite This Article

刘奇飞, 杜彦辉, 芦天亮. 基于用户关系的跨社交网络用户身份关联方法 [J]. 计算机应用研究, 2020, 37 (2): 381-384,406. (Liu Qifei, Du Yanhui, Lu Tianliang. User identity linkage across social network based on user relations [J]. Application Research of Computers, 2020, 37 (2): 381-384,406. )

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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