Abstract
A theory of additive Markov chains with long-range memory is used to describe the correlation properties of coarse-grained literary texts. The complex structure of the correlations in the texts is revealed. Antipersistent correlations at small distances, , and persistent ones at define this nontrivial structure. For some concrete examples of literary texts, the memory functions are obtained and their power-law behavior at long distances is disclosed. This property is shown to be a cause of self-similarity of texts with respect to the decimation procedure.
- Received 6 February 2004
DOI:https://doi.org/10.1103/PhysRevE.72.026140
©2005 American Physical Society