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Network Differences between Normal and Shuffled Texts: Case of Croatian

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Complex Networks V

Part of the book series: Studies in Computational Intelligence ((SCI,volume 549))

Abstract

This paper is an initial attempt to study the properties of the Croatian word order via complex networks. We present network properties of normal and shuffled Croatian texts for different co-occurrence window sizes and different linkage boundaries. The results of network analysis show that the text shuffling causes the decrease of the network diameter, due to the establishment of previously non-existing links. This indicates that the syntax does play a significant role in the Croatian language, although it is a mostly free word-order language.

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References

  1. Meta-net white paper series: Key results and cross-language comparison (2012), http://www.meta-net.eu/whitepapers/key-results-and-cross-language-comparison

  2. Alstott, J., Bullmore, E., Plenz, D.: Powerlaw: a python package for analysis of heavy-tailed distributions. arXiv preprint arXiv:1305.0215 (2013)

    Google Scholar 

  3. Ban, K., Martinčić-Ipšić, S., Meštrović, A.: Initial comparison of linguistic networks measures for parallel texts. In: 5th International Conference on Information Technologies and Information Society (ITIS), pp. 97–104 (2013)

    Google Scholar 

  4. Barabási, A., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  5. Caldeira, S., Lobao, P., Andrade, R., Neme, A., Miranda, V.: The network of concepts in written texts. The European Physical Journal B-Condensed Matter and Complex Systems 49(4), 523–529 (2006)

    Article  Google Scholar 

  6. Hagberg, A., Swart, P., Chult, D.: Exploring network structure, dynamics, and function using networkx. Technical report, Los Alamos National Laboratory (LANL) (2008)

    Google Scholar 

  7. Krishna, M., Hassan, A., Liu, Y., Radev, D.: The effect of linguistic constraints on the large scale organization of language. arXiv preprint arXiv:1102.2831 (2011)

    Google Scholar 

  8. Li, W.: Random texts exhibit zipf’s-law-like word frequency distribution. IEEE Transactions on Information Theory 38(6), 1842–1845 (1992)

    Article  Google Scholar 

  9. Liu, H., Hu, F.: What role does syntax play in a language network? EPL (Europhysics Letters) 83(1), 18002 (2008)

    Article  Google Scholar 

  10. Margan, D., Martinčić-Ipšić, S., Meštrović, A.: Preliminary report on the structure of Croatian linguistic co-occurrence networks. In: 5th International Conference on Information Technologies and Information Society (ITIS), Slovenia, pp. 89–96 (2013)

    Google Scholar 

  11. Masucci, A., Rodgers, G.: Network properties of written human language. Physical Review E 74(2), 026102 (2006)

    Google Scholar 

  12. Masucci, A., Rodgers, G.: Differences between normal and shuffled texts: structural properties of weighted networks. Advances in Complex Systems 12(1), 113–129 (2009)

    Article  MathSciNet  Google Scholar 

  13. Newman, M.: Power laws, pareto distributions and zipf’s law. Contemporary Physics 46(5), 323–351 (2005)

    Article  Google Scholar 

  14. Watts, D., Strogatz, S.: Collective dynamics of small-world networks. Nature 393(6684), 440–442 (1998)

    Article  Google Scholar 

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Correspondence to Domagoj Margan .

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Margan, D., Martinčić-Ipšić, S., Meštrović, A. (2014). Network Differences between Normal and Shuffled Texts: Case of Croatian. In: Contucci, P., Menezes, R., Omicini, A., Poncela-Casasnovas, J. (eds) Complex Networks V. Studies in Computational Intelligence, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-05401-8_26

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  • DOI: https://doi.org/10.1007/978-3-319-05401-8_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05400-1

  • Online ISBN: 978-3-319-05401-8

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