| 基于信息熵的网络数据演化涌现性度量方法研究 |
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| 引用本文： | 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(1):58-62. |
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| 作者姓名： | 何俊 周义方 张德海 |
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| 作者单位： | 昆明学院信息技术学院;云南大学软件学院; |
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| 摘 要： | 为了衡量网络数据演化过程中产生的"涌现现象",从涌现性特征的宏观分析出发,建立信息熵与网络数据演化涌现性之间的关联关系,基于概率估计提出1种可行的信息熵值计算方法,用信息熵对网络数据演化涌现性进行度量,并对演化行为和系统层次可能引入的误差进行校正,使度量方法更贴近实际情况.用实验分析说明该方法的合理性和有效性.
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| 关 键 词： | 网络数据演化 涌现性 信息熵 度量 |
A measurement method for the emergent properties of the evolution of network data based on information entropy |
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| Institution: | ,College of Information Technology,Kunming University,College of Software,Yunnan University |
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| 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. |
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| Keywords: | evolution of the network data emergent properties information entropy measure |
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