区分正常和混洗克罗地亚语文本的复杂网络测度
Complex Networks Measures for Differentiation between Normal and Shuffled Croatian Texts
摘要：
本文通过复杂网络研究克罗地亚语文本的性质。我们提出了网络性能的正常和洗牌克罗地亚文本不同的洗牌原则：在句子层面和文本层面上。在这两个实验中，我们保留了词汇量，单词和句子的频率分布。此外，在第一种洗牌方法中，我们保留了文本的句子结构和每个句子的单词数量。结果表明，度秩分布在洗牌网络中没有表现出实质性的偏差，强度秩分布由于相同的词频而保持不变。因此，研究语言共现网络结构的标准方法显示，正常文本和混洗文本的拓扑结构之间没有明显的差异。最后，我们表明，从洗牌文本的选择性值和选择性值始终低于从正常文本计算的选择性值。我们的研究结果证实，节点的选择性措施可以捕捉原始和洗牌克罗地亚语文本之间的结构差异。
英文摘要：
This paper studies the properties of the Croatian texts via complex networks. We present network properties of normal and shuffled Croatian texts for different shuffling principles: on the sentence level and on the text level. In both experiments we preserved the vocabulary size, word and sentence frequency distributions. Additionally, in the first shuffling approach we preserved the sentence structure of the text and the number of words per sentence. Obtained results showed that degree rank distributions exhibit no substantial deviation in shuffled networks, and strength rank distributions are preserved due to the same word frequencies. Therefore, standard approach to study the structure of linguistic co-occurrence networks showed no clear difference among the topologies of normal and shuffled texts. Finally, we showed that the in- and out- selectivity values from shuffled texts are constantly below selectivity values calculated from normal texts. Our results corroborate that the node selectivity measure can capture structural differences between original and shuffled Croatian texts.
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