Journal of Mathematics and Statistics

Lossy Asymptotic Equipartition Property for Networked Data Structures

Kwabena Doku-Amponsah

DOI : 10.3844/jmssp.2017.152.158

Journal of Mathematics and Statistics

Volume 13, Issue 2

Pages 152-158


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.


© 2017 Kwabena Doku-Amponsah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.