Measuring complexity with zippers

Baronchelli, A., Caglioti, E. & Loreto, V. (2005). Measuring complexity with zippers. European Journal of Physics, 26(5), S69 - S77. doi: 10.1088/0143-0807/26/5/S08

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Abstract

Physics concepts have often been borrowed and independently developed by other fields of science. In this perspective, a significant example is that of the entropy in information theory. The aim of this paper is to provide a short and pedagogical introduction to the use of data compression techniques for the estimate of the entropy and other relevant quantities in information theory and algorithmic information theory. We consider in particular the LZ77 algorithm as a case study and discuss how a zipper can be used for information extraction.

Item Type: Article
Subjects: Q Science > QC Physics
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: School of Engineering & Mathematical Sciences > Department of Mathematical Science
URI: http://openaccess.city.ac.uk/id/eprint/2662

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