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Algorithm Research & Explore
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1374-1379

Group spam detection algorithm considering structure and behavior characteristics

Zhang Qi
Ji Shujuan
Zhang Wenpeng
Cao Ning
Li Ning
Shandong Provincial Key Laboratory of Wisdom Mine Information Technology, Shandong University of Science & Technology, Qingdao Shandong 266590, China

Abstract

Online reviews play a significant role in users' purchasing decisions. In order to improve their reputation or degrade their competitors' products, some sellers employ a large numbers of review spammers to write fake reviews systematically and strategically to mislead potential consumers. In order to detect such organized spammer groups, this paper proposed a group spam detection algorithm that comprehensively considered the network structure and the behavior characteristics of reviewers. In implementation, this algorithm first obtained the closeness between reviewers based on the relevance of ratings and review time, and constructed a reviewer relationship graph. Secondly, based on the constructed reviewer relationship graph, it used label propagation method to detect the community and got a set of candidate groups. Finally, it restored the corresponding bipartite graphs of the candidate groups, and then found the final spammers on each bipartite graph by taking contrast suspiciousness as a metric. Experimental results based on real datasets demonstrate the effectiveness of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(71772107,62072288)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0460
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1374-1379
Serial Number: 1001-3695(2022)05-015-1374-06

Publish History

[2021-12-24] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

张琪, 纪淑娟, 张文鹏, 等. 考虑结构与行为特征的水军群组检测算法 [J]. 计算机应用研究, 2022, 39 (5): 1374-1379. (Zhang Qi, Ji Shujuan, Zhang Wenpeng, et al. Group spam detection algorithm considering structure and behavior characteristics [J]. Application Research of Computers, 2022, 39 (5): 1374-1379. )

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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