云南民族大学学报（自然科学版）2018，Vol.27Issue(1)：58-62,5.DOI:10.3969/j.issn.1672-8513.2018.01.013
基于信息熵的网络数据演化涌现性度量方法研究
A measurement method for the emergent properties of the evolution of network data based on information entropy
摘要
Abstract
To measure the "emergent phenomena" of the network data produced in the evolutionary process,this paper first gives a macro-analysis of its features,and establishes the correlation between the information entropy and such emergent properties.On the basis of the probability estimates,it proposes a feasible calculation method for information entropy,measures the emergent properties of network data by using the information entropy,and applies error correction to the evolutionary behaviors in the network to reveal the truth.The experimental analysis shows the rationality and validity of this method.关键词
网络数据演化/涌现性/信息熵/度量Key words
evolution of the network data/emergent properties/information entropy/measure分类
信息技术与安全科学引用本文复制引用
何俊,周义方,张德海..基于信息熵的网络数据演化涌现性度量方法研究[J].云南民族大学学报（自然科学版）,2018,27(1):58-62,5.基金项目
云南省教育厅科学研究基金(2011FB020). （2011FB020）
