| 基于主成分分析法的微博影响力评估方法及实证分析——以“新浪微博”为例 |
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| 引用本文： | 刘清,彭赓,吕本富.基于主成分分析法的微博影响力评估方法及实证分析——以“新浪微博”为例[J].数学的实践与认识,2014(4). |
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| 作者姓名： | 刘清 彭赓 吕本富 |
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| 作者单位： | 中国科学院大学管理学院; |
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| 基金项目： | 国家自然科学基金(70972104,71172199);中国科学院院长基金(Y15101QY00)的支持 |
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| 摘 要： | 介绍了微博作为一种新型社会化媒体的基本结构和特点,并从微博的信息传播机制出发,分析认为用户交互模式较大程度地体现了微博的影响力,由此总结出微博的4个基本功能,以"新浪微博"为研究样本,甄选了7项指标构成微博影响力评价指标体系,应用主成分分析法推导出各项指标的权重,最后建立了微博影响力评价模型.
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| 关 键 词： | 微博 微博影响力 主成分分析法 |
PCA-Based Evaluation System of Micro-blog Influence and an Empirical Analysis of Sina Micro-blog |
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| Abstract: | The basic infrastructure and characteristics of micro-blog as a new social media were introduced in this paper.Based on the mechanism of information dissemination in micro-blog,the user interaction model of mi-cro-blogs decided the influence of micro-blogs,which was reflected by the four functions of micro-blogs.With statistics from Sina Microblog,an evaluation system of micro-blog influence composed of seven in-dexes was proposed.Further,the weight of each index was derived with principal component analysis and a complete evaluations system of micro-blog influence was built. |
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| Keywords: | micro-blog micro-blog influence principal component analysis |
| 本文献已被 CNKI 等数据库收录！ |
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