[目的/意義]突發事件中網絡輿情意見領袖扮演著傳播、引導、推動輿論發展等重要作用,有效識別意見領袖對實現網絡輿情監測和預警具有重要意義。[方法/過程]結合網絡輿情在微博平臺的傳播特征,從影響力、活躍度和認同度3個維度出發,構建微博意見領袖指標體系,應用一種改進的模糊—層次分析法確定指標要素權重,并通過灰色關聯分析法構建一種意見領袖識別模型及影響力排序方法。[結果/結論]提供了一種意見領袖識別模型,可以科學有效地對網絡輿情事件的意見領袖進行識別和影響力分析。[局限]指標量化維度和隱性指標數據存在一定的可擴展性。

[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.