Calculation method of Chinese public event information entropy

被引：0
|
作者：
Jin R. [1 ]
Zhang H.-L. [1 ]
Zhang Y. [1 ]
Wang X. [1 ]
机构：
[1] School of Computer Science and Technology, Harbin Institute of Technology, Harbin
来源：
Ruan Jian Xue Bao/Journal of Software | 2016年 / 27卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Information entropy; Principle of maximum entropy; Public event; Shannon information theory; Social computing;
D O I：
10.13328/j.cnki.jos.004932
中图分类号：
学科分类号：
摘要：
With the proliferation of the Chinese social network (especially the rise of weibo), the productivity and lifestyle of the country's society is more and more profoundly influenced by the Chinese internet public events. Due to the lack of the effective technical means, the efficiency of information processing is limited. This paper proposes a public event information entropy calculation method. First, a mathematical modeling of event information content is built. Then, multidimensional random variable information entropy of the public events is calculated based on Shannon information theory. Furthermore, a new technical index of quantitative analysis to the internet public events is put forward, laying out a foundation for further research work. © Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码：2855 / 2869
页数：14
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