首页|基于主成分分析的微博话题影响指数评价研究

基于主成分分析的微博话题影响指数评价研究

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微博作为人们接收与共享信息的新兴社交互动平台,使得有影响力话题的产生成为可能。作为网络舆情产生的萌芽,对于网络话题影响力的评价具有极其重要的意义。基于话题影响力的概念梳理与构成因素界定,提出了微博话题影响指数这一概念。分别从参与者维度、话题维度与网络维度构建微博话题影响指数的指标大类。使用大量客观数据,通过主成分分析法对各指标权重进行客观赋值,最终得到微博话题影响指数的7个主成分以及该指数的计算方法。最后,提出该指数的应用示例,旨在为在线话题管理者提供网络舆情管理的决策支持。
Research on the Evaluation of Microblog Topic Influence Index Based on PCA Methods
As the emerging interactive social network platform for people to receive and share information, microblog makes the genera-tion of influential topics possible. As the early stage of network public opinion, the evaluation of the influence of online topic has great sig-nificance. Based on the concept combination and components definition of topic influence, this research proposes a new concept of microb-log topic influence index ( topic-I index) which contains three dimensions:participants, topics and network. Applying PCA and huge vol-ume of real data to assign each index weight, we eventually obtain 7 principal components and the calculation methodology of topic-I in-dex. Finally, the paper provides the application example of this index to provide network public opinion decision supports for topic man-agement administrators.

topic influence indexinfluence evaluationprincipal component analysis ( PCA)microblog

杜诗雨、齐佳音

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北京邮电大学经济管理学院 北京 100876

话题影响指数 影响力评价 主成分分析 微博

“973”项目“973”项目国家自然科学基金重点项目北京市自然科学基金

2013CB3296042012CB315805712310029122018

2014

情报杂志
陕西省科学技术信息研究所

情报杂志

CSSCICHSSCD北大核心
影响因子:1.502
ISSN:1002-1965
年,卷(期):2014.(5)
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