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An improved measuring method for the information entropy of network topology

机译:一种改进的网络拓扑信息熵测量方法

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摘要

The measurement of network topologies is of great significance to the multi-scale expression and generalization of maps. The problem encountered in existing metrics is whether to use the approach of measuring a single type of information or measuring the overall information; however, redundancy can be calculated. In view of these problems, this article selects three types of information metrics that express compactness, heterogeneity, and discreteness in a network topology. The measurement model has been simplified, and the calculation has been improved. By comparing various methods and measuring the information entropy of area road networks, the simplicity and validity of the improved method are verified.
机译:网络拓扑的测量对地图的多尺度表达和泛化具有重要意义。 在现有度量标准中遇到的问题是是否使用测量单个信息的方法或测量整体信息; 但是,可以计算冗余。 鉴于这些问题,本文选择了三种类型的信息指标,即在网络拓扑中表达紧凑性,异质性和离散性。 已经简化了测量模型,并提高了计算。 通过比较各种方法和测量区域道路网络的信息熵,验证了改进方法的简单性和有效性。

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