摘要
当前,信息级联作为社交网络信息传播的重要形式越来越得到研究者的关注。大量个体的模仿行为使得社交网络中信息传播影响急剧放大,同时也带来了巨大的网络意见波动,意见扭曲日益频发。鉴于此,很多研究者对此展开了探讨,从最初的信息级联特征与结构分析,到基于真实数据的级联效应建模与优化,再到动态的级联预测与影响力最大化研究。尽管成果已较为丰富,但多是技术层面的分析,结合效应分析的成果较少,尤其对信息级联形成的网络意见扭曲等尚缺少代表性成果。鉴于此,本文从用户、信息及结构三个基本视角,提出了网络意见扭曲的若干可研究主题。
With the prevalence of false information and propaganda on social networks,more researchers are paying attention to information cascade.Many individual imitation behaviors enlarge the influence of information diffusion in social networks rapidly,but they also trigger great fluctuation and uncertainty,and distorted opinions are becoming increasingly frequent.Therefore,many researchers focus on this topic,from feature and structure discussions of information cascade,to modeling and its optimization based on real data,then to cascade forecasting and maximizing influence.Nevertheless,most of this research employs technique analysis,and seldom is it concerned with the effect,especially the suboptimum effect and opinion distortion caused by cascade.Based on this context,this paper proposed several research topics from the perspectives of the user,information,and structure.
作者
魏建良
朱庆华
Wei Jianliang;Zhu Qinghua(Zhejiang Gongshang University,Hangzhou 310018;Nanjing University,Nanjing 210093)
出处
《情报学报》
CSSCI
CSCD
北大核心
2019年第10期1117-1128,共12页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金项目“基于信息级联的网络意见偏差及引导机制研究”（18BTQ050）
关键词
信息级联
社交网络
意见扭曲
information cascade
social network
opinion distortion
