摘要
[目的/意义]微博已成为当前主导互联网舆情生成的重要平台。舆论热点的产生往往与评论行为密切相关。探求评论行为影响因素并进行量化研究对舆论引导具有重要的现实意义。[方法/过程]从微博信息增长、评论增长、评论频数分布等角度统计分析微博用户的评论行为数据。基于统计分析结果,对BA网络和节点批量到达的Poisson网络模型进行改进,引入优先连接机制和微博影响力,构建微博用户评论行为模型,对模型进行仿真及验证。[结果/结论]研究揭示了微博用户评论行为的内在影响机制。
[Purpose/Significance]Microblog has become an important platform where internet public opinion is generated. Public opinion hot spots are usually closely related to comment behavior. It is of a vital practical significance to explore influence factor of comment behavior and quantify it.[Method/Process]The paper analyzes comment model behavior data of microblog users from several aspects including microblog message growth,comment growth and comment frequency distribution. Based on the statistical results,the paper improves BA model and Poisson network model with node batch and proposes a comment including message influence and preferential attachment. By applying the model,the paper reproduces a power-lawdistribution which fits well with the actual data.[Result/Conclusion]The research helps to explain the internal mechanism of comment behavior in microblog.
作者
易兰丽
杨慧
闫强
Yi Lanli;Yang Hui;Yan Qiang(School of Public Policy ＆ Management,Tsinghua University,Beijing 100084;School of Economics and Management,Beijing University of Posts and Telecommunications,Beijing 100876)
出处
《情报杂志》
CSSCI
北大核心
2018年第6期96-101,共6页
Journal of Intelligence
关键词
微博
评论行为
优先连接机制
微博影响力
microblog
comment behavior
preferential attachment
microblog influence
