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Finding Fractal Networks in Literature

机译:在文学中寻找分形网络

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This paper is about how fractal connections between words can be identified and hidden fractal word-networks uncovered in corpus texts. The basis for this "search-and-find" procedure is the hypothesis Complexity Connections in Corpuses (CCIC) consisting of four separate sub-hypotheses, each the basis of a procedure for uncovering a special part of such networks. The validity and applicability of CCIC are demonstrated by showing that each sub-hypothesis holds good for twenty-four masterpieces, selected from the world's great library of novels and treatises. And the hidden structure is "developed" by means of our computer-program ZIPPF. It turns out that this hidden structure is similar for all investigated corpus texts, a fact which, in our thinking, supports the idea that the hidden word-network renders us a glimpse of working processes used by the brain machinery to produce text. The conclusion is that CCIC provides tools for linguistic research, is a supplement to linguistic networks theory, and opens up for, inter alia fractal-mathematical, studies of high-level brain/mind activity because it follows from CCIC that human verbal thinking is fractal.
机译:本文探讨了如何识别单词之间的分形连接以及如何在语料库文本中发现隐藏的分形单词网络。此“查找与发现”过程的基础是假设“语料库中的复杂性连接”(CCIC)由四个独立的子假设组成,每个子假设均是揭示此类网络特殊部分的过程的基础。 CCIC的有效性和适用性通过表明每个子假设对从世界上大量的小说和论着图书馆中选出的二十四个杰作都具有良好的作用来证明。而隐藏的结构是通过我们的计算机程序ZIPPF“开发的”。事实证明,这种隐藏结构对于所有被调查的语料库文本都是相似的,在我们的思想中,这一事实支持了这样的想法,即隐藏的单词网络使我们瞥见了大脑机器生成文本所使用的工作过程。结论是CCIC为语言研究提供了工具,是语言网络理论的补充,并且尤其针对分形数学进行了高级脑/思维活动的研究,因为CCIC认为人类语言思维是分形的。

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