摘要
[目的/意义]突发事件中网络舆情意见领袖扮演着传播、引导、推动舆论发展等重要作用,有效识别意见领袖对实现网络舆情监测和预警具有重要意义。[方法/过程]结合网络舆情在微博平台的传播特征,从影响力、活跃度和认同度3个维度出发,构建微博意见领袖指标体系,应用一种改进的模糊—层次分析法确定指标要素权重,并通过灰色关联分析法构建一种意见领袖识别模型及影响力排序方法。[结果/结论]提供了一种意见领袖识别模型,可以科学有效地对网络舆情事件的意见领袖进行识别和影响力分析。[局限]指标量化维度和隐性指标数据存在一定的可扩展性。
[ Purpose/significance ] Network public opinion leaders play an important role in spreading, guiding and promoting the development of emergencies. It is of great significance to effectively identify opinion leaders for monitoring and early warning of network public opinion. [ Method/process ] Combining with the propagation characteristics of network public opinion in the microblog platform, from the dimensions of impact, activity and identity, the paper builds a micro-blog opinion leaders index system, which determines the index weights by an improved fuzzy AHP method, and establishes an opinion leader identification model and influence ranking method with grey relational analysis method. [ Result/conclusion] The paper provides an opinion leader identification model, which can scientifically and effectively identify and analyze the opinion leaders of network emergencies. [ Limitations ] There is a certain degree of scalability in the quantitative dimension of indexes and implicit index data.
出处
《情报理论与实践》
CSSCI
北大核心
2017年第9期90-94,共5页
Information Studies:Theory & Application
关键词
微博
网络舆情
意见领袖
灰色关联分析
microblog
network public opinion
opinion leader
grey relational analysis
