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基于局域社交网络的舆情溯源算法研究

Research on Public Opinion Tracking Algorithm Based on Local Social Network
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摘要 随着互联网技术的日益普及,加快了信息在网络中传播速度及影响。信息体量增加的同时,许多虚假舆情信息也应运而生,舆情信息的广泛传播会对国家、社会以及个人利益造成难以控制的负面影响。因此,需采用技术手段对网络中的舆情信息进行溯源研究,从而保证网络安全。文章提出了一种舆情溯源算法,并通过实验结果表明:该算法具有准确率较高、错误距离较小的优点,适合在局域社交网络中应用,对网络安全具有重要现实意义。 With the increasing popularity of Internet technology,the speed and influence of information dissemination in the network have been accelerated.With the increase of information volume,much false public opinion information also emerges as the times require.The wide spread of public opinion information will cause uncontrollable negative impact on the interests of the country,society and individuals.Therefore,it is necessary to use technical means to trace the source of public opinion information in the network to ensure network security.This paper proposes a public opinion traceability algorithm,and the experimental results show that the algorithm has the advantages of high accuracy and small error distance,which is suitable for application in local social network and has important practical significance for network security.
作者 张欣 王丽娟 沐雅琪 ZHANG Xin;WANG Lijuan;MU Yaqi(School of Information Engineering,Xuzhou College of Industrial Technology,Xuzhou 221140,China;School of Automotive Engineering,Xuzhou College of Industrial Technology,Xuzhou 221140,China)
出处 《现代信息科技》 2023年第9期177-180,共4页 Modern Information Technology
基金 徐州工业职业技术学院校级科研一般项目(XGY2021A012)。
关键词 社交网络 信息溯源 传播中心性 网络安全 social network information tracing communication centrality network security
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