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Special Topics in Social Network Analysis & Discovery
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 1
56-64

Timeliness-based method for locating sources of negative influence under independent cascade model

Yan Jie
Chen Ling
Liu Wei
Li Bin
College of Information Engineering, Yangzhou University, Yangzhou Jiangsu 225000, China
DOI: 10.19734/j.issn.1001-3695.2024.06.0201

Abstract

In today's rapidly developing social networks, the spread of harmful information poses a threat to social stability. Identifying and locating harmful message sources is crucial for controlling public opinion. In the actual dissemination of social networks, the credibility of harmful information will decay over time. Ignoring this factor will reduce the accuracy of locating the source of the dissemination. To address this problem, this paper proposed a time-based source localization method under an independent cascade model. This paper defined the attenuation coefficient of the node activation probability and calculated the posterior probability of the node being infected through the Bayes model. Then it calculated the influence of all nodes through random walks, and nodes with influence greater than the threshold were selected to join the candidate source set. Finally, it compared the infection time of the nodes in the candidate source set with the distance between the observed node and the candidate source to select a set of k source nodes. Experimental results on real and synthetic networks show that this method can accurately identify multiple dissemination sources, and the accuracy of the source location result is higher than those of other similar algorithms.

Foundation Support

国家自然科学基金资助项目(61379066,61702441,61070047,61379064,61472344,61402395,61602202)
江苏省自然科学基金资助项目(BK20130452,BK2012672,BK2012128,BK20140492,BK20160428)
江苏省教育厅自然科学基金资助项目(12KJB520019,13KJB520026,09KJB20013)
江苏省研究生培养创新工程项目(CXZZ13_0173)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0201
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 1
Section: Special Topics in Social Network Analysis & Discovery
Pages: 56-64
Serial Number: 1001-3695(2025)01-008-0056-09

Publish History

[2025-01-05] Printed Article

Cite This Article

严杰, 陈崚, 刘维, 等. 独立级联模型下基于时效性的负影响力源定位方法 [J]. 计算机应用研究, 2025, 42 (1): 56-64. (Yan Jie, Chen Ling, Liu Wei, et al. Timeliness-based method for locating sources of negative influence under independent cascade model [J]. Application Research of Computers, 2025, 42 (1): 56-64. )

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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