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大规模人群聚集活动网络关注的信息熵计算

Information Entropy Calculation of Network Attention in Large-scale Population Gathering Activities
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摘要 随着社交网络的发展,人们在网络上对大规模人群聚集活动的关注也越来越深刻地影响着现实社会的活动.由于缺乏有效的技术手段,信息处理的效率受到了限制.提出了一种新的大规模人群聚集活动信息熵的计算方法,其基本思想是首先对大规模人群聚集活动信息内容进行建模,然后以香农信息论为理论基础,对大规模人群聚集活动的多维随机变量信息熵进行计算.该方法为大规模人群聚集活动的定量化分析提供了一个重要技术指标,为进一步的研究工作打下基础. Along with the development of the social network,people’s attention to large scale population gathering activities in the network has become more and more profoundly influential to the activities in the real society.Due to the lack of the effective technical means,the efficiency of information processing has been limited.This paperputs forward a new computation method for large scale population gathering activities information entropy,the basicidea of which is to first carry out modeling on large scale population gathering activities information content.Andthen,based on the theory of Shannon information theory,it performs computation on the multidimensional randomvariables information entropy of large scale population gathering activities.
作者 陈玉萍 CHEN Yu-ping(Department of Science & Technology Information, Anhui Vocational College of Public Security, Hefei, Anhui 230031, China)
出处 《石家庄学院学报》 2017年第3期65-72,共8页 Journal of Shijiazhuang University
基金 安徽省教育厅自然科学研究项目(KJ2017A865)
关键词 社会计算 大规模人群聚集活动 香农信息论 信息熵 最大熵理论 social computing large-scale population gatheringactivities Shannon information theory information entropy
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