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The small-world of 'Le Petit Prince': Revisiting the word frequency distribution

机译:“小王子”的小世界:重新审视词频分布

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摘要

Many complex systems are naturally described through graph theory, and different kinds of systems described as networks present certain important characteristics in common. One of these features is the so-called scale-free distribution for its node's connectivity, which means that the degree distribution for the network's nodes follows a power law. Scale-free networks are usually referred to as small-world because the average distance between their nodes do not scale linearly with the size of the network, but logarithmically. Here we present a mathematical analysis on linguistics: the word frequency effect for different translations of the 'Le Petit Prince' in different languages. Comparison of word association networks with random networks makes evident the discrepancy between the random Erdos-Reny model for graphs and real-world networks.
机译:通过图论自然地描述了许多复杂的系统,描述为网络的不同类型的系统具有共同的某些重要特征。这些功能之一是其节点连接性的所谓无标度分布,这意味着网络节点的度分布遵循幂定律。无标度网络通常被称为“小世界”,因为其节点之间的平均距离并不随网络的大小呈线性比例,而与对数呈线性关系。在这里,我们对语言学进行数学分析:“小王子”在不同语言中的不同翻译的词频效应。单词联想网络与随机网络的比较表明,图的随机鄂尔多斯-雷尼模型与现实世界之间存在差异。

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