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Research Article · Open access · Published 24 May 2017

Lossy Asymptotic Equipartition Property for Networked Data Structures

Kwabena Doku-Amponsah1

Journal of Mathematics and Statistics, Volume 13, Issue 2, pp. 152–158 · doi.org/10.3844/jmssp.2017.152.158

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Abstract

In this study, we prove a Generalized Information Theory for Networked Data Structures modelled as random graphs. The main tools in this study remain large deviation principles for properly defined empirical measures on random graphs. To motivate the paper, we apply our main result to a concrete example from the field of Biology.

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Doku-Amponsah, K. (2017). Lossy Asymptotic Equipartition Property for Networked Data Structures. Journal of Mathematics and Statistics, 13(2), 152–158. https://doi.org/10.3844/jmssp.2017.152.158

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Lossy Asymptotic Equipartition Property for Networked Data StructuresJournal of Mathematics and Statistics · Volume 13, Issue 2 · pp. 152–158 · CC BY 3.0Download