Reference : A Survey of Information Entropy Metrics for Complex Networks
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/10993/45696
A Survey of Information Entropy Metrics for Complex Networks
English
Omar, Yamila mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Plapper, Peter mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
15-Dec-2020
Entropy
Multidisciplinary Digital Publishing Institute (MDPI)
Yes (verified by ORBilu)
1099-4300
Basel
Switzerland
[en] complex networks ; entropy ; centrality ; Shannon's entropy
[en] Information entropy metrics have been applied to a wide range of problems that were abstracted as complex networks. This growing body of research is scattered in multiple disciplines, which makes it difficult to identify available metrics and understand the context in which they are applicable. In this work, a narrative literature review of information entropy metrics for complex networks is conducted following the PRISMA guidelines. Existing entropy metrics are classified according to three different criteria: whether the metric provides a property of the graph or a graph component (such as the nodes), the chosen probability distribution, and the types of complex networks to which the metrics are applicable. Consequently, this work identifies the areas in need for further development aiming to guide future research efforts.
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/45696
10.3390/e22121417
https://www.mdpi.com/1099-4300/22/12/1417/htm
FnR ; FNR11601404 > Yamila Omar > INSIGHT > Business Analytics In Manufacturing: Husky Solutioning Lead-time Optimization > 01/03/2017 > 31/07/2021 > 2017

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