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复杂网络中信息扩散模型及溯源方法的研究进展 被引量:4

Survey on information diffusion models and source identification methods in complex networks
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摘要 随着信息技术的快速发展,在线社交网络成为了人们获取和分享信息的主要平台。因此,对复杂网络中的信息扩散机制及溯源方法的研究具有重要的意义。文中首先综述了复杂网络上信息扩散模型和溯源方法的研究现状,并介绍了不同模型与方法的优缺点。然后,对后续研究方向进行了展望,为未来相关的研究提供参考。最后,列举了一些公开常用的网络数据集。 With the rapid development of information technology,online social networks have become the main platforms for people to obtain and share a huge amount of information.Therefore,it is of great signifi­cance for studing the information diffusion models and source identification methods in complex networks.Firstly,the state-of-the-art of information diffusion models and source identification methods in complex networks is reviewed and the advantages and disadvantages of different models and methods are com­pared.Secondly,the future direction is prospected to provide a reference for future research.Finally,some commonly used network datasets are listed.
作者 王友国 柴允 朱亮 WANG Youguo;CHAI Yun;ZHU Liang(School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;College of Telecommunications&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处 《南京邮电大学学报(自然科学版)》 北大核心 2020年第5期186-195,共10页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金 国家自然科学基金(61771256,62071248) 江苏省研究生科研创新计划(KYCX20_0730)资助项目。
关键词 复杂网络 信息扩散模型 溯源方法 随机扰动 complex networks information diffusion models source identification methods stochastic dis­turbances
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