Patterning of
Writing Style Evolution by means of Dynamic Similarity
This paper suggests a new methodology for patterning writing
style evolution using dynamic similarity. We divide a text into sequential,
disjoint portions (chunks) of the same size and exploit the Mean Dependence
measure, aspiring to model the writing process via association between the
current text chunk and its predecessors. To expose the evolution of a style, a
new two-step clustering procedure is applied. The approach applied to studying
writing style evolution in the “Foundation Universe” by Isaac Asimov, the
“Rama” series by Arthur C. Clarke, the “Forsyte Saga” of John Galsworthy, “The
Lord of the Rings” by John Ronald Reuel Tolkien and a collection of books
prescribed to Romain Gary demonstrates that the suggested methodology is
capable of identifying style development over time. Additional numerical
experiments with author determination and author verification tasks exhibit the
high ability of the method to provide accurate solutions.
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