Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 453, Issue -, Pages 35-43Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2016.02.007
Keywords
Probability distributions; Complex systems; Shannon entropy; Measures of complexity
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Funding
- ESRC [ES/L00092X/1] Funding Source: UKRI
- Economic and Social Research Council [ES/L00092X/1] Funding Source: researchfish
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This paper is part of a series addressing the empirical/statistical distribution of the diversity of complexity within and amongst complex systems. Here, we consider the problem of measuring the diversity of complexity in a system, given its ordered range of complexity types i and their probability of occurrence p(i), with the understanding that larger values of i mean a higher degree of complexity. To address this problem, we introduce a new complexity measure called case-based entropy C-c - a modification of the Shannon-Wiener entropy measure H. The utility of this measure is that, unlike current complexity measures - which focus on the macroscopic complexity of a single system - C-c can be used to empirically identify and measure the distribution of the diversity of complexity within and across multiple natural and human-made systems, as well as the diversity contribution of complexity of any part of a system, relative to the total range of ordered complexity types. (C) 2016 Elsevier B.V. All rights reserved.
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