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Quantifying origin and character of long-range correlations in narrative texts
Stanisław Drożdż, Paweł Oświęcimka, Andrzej Kulig et al., 2016. Information Sciences.
Measures long-range correlations in sentence lengths across narrative texts and finds they depend on the author and the style, with some texts showing multifractal structure.
What it's used for here
The inductive-methods survey takes from it tests of long-range structure that can be run on the manuscript's lines without reading them.
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Drożdż, S., Oświęcimka, P., Kulig, A., Kwapień, J., Bazarnik, K., Grabska-Gradzińska, I., Rybicki, J., & Stanuszek, M. (2016). Quantifying origin and character of long-range correlations in narrative texts. Information Sciences. https://arxiv.org/abs/1412.8319
@article{drozdz2016quantifying,
author = {Drożdż, Stanisław and Oświęcimka, Paweł and Kulig, Andrzej and Kwapień, Jarosław and Bazarnik, Katarzyna and Grabska-Gradzińska, Iwona and Rybicki, Jan and Stanuszek, Marek},
title = {Quantifying origin and character of long-range correlations in narrative texts},
journal = {Information Sciences},
year = {2016},
url = {https://arxiv.org/abs/1412.8319}
}TY - JOUR TI - Quantifying origin and character of long-range correlations in narrative texts AU - Drożdż, Stanisław AU - Oświęcimka, Paweł AU - Kulig, Andrzej AU - Kwapień, Jarosław AU - Bazarnik, Katarzyna AU - Grabska-Gradzińska, Iwona AU - Rybicki, Jan AU - Stanuszek, Marek PY - 2016 JO - Information Sciences UR - https://arxiv.org/abs/1412.8319 ER -
Drożdż, Stanisław et al.. “Quantifying origin and character of long-range correlations in narrative texts.” Information Sciences (2016).