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