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Complexity
Volume 2017, Article ID 8715605, 10 pages
https://doi.org/10.1155/2017/8715605
Research Article

Advancing Shannon Entropy for Measuring Diversity in Systems

1Department of Mathematical Sciences, Kent State University, Kent, OH, USA
2Department of Sociology, Kent State University, 3300 Lake Rd. West, Ashtabula, OH, USA
3School of Social and Health Sciences, Abertay University, Dundee DD1 1HG, UK

Correspondence should be addressed to R. Rajaram; ude.tnek@marajarr

Received 31 January 2017; Revised 5 April 2017; Accepted 23 April 2017; Published 24 May 2017

Academic Editor: Enzo Pasquale Scilingo

Copyright © 2017 R. Rajaram et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

R. Rajaram, B. Castellani, and A. N. Wilson, “Advancing Shannon Entropy for Measuring Diversity in Systems,” Complexity, vol. 2017, Article ID 8715605, 10 pages, 2017. https://doi.org/10.1155/2017/8715605.