Bounds for degree-based network entropies
Zengqiang Chen,
Matthias Dehmer and
Yongtang Shi
Applied Mathematics and Computation, 2015, vol. 265, issue C, 983-993
Abstract:
In this paper, we continue studying degree-based entropies for networks. The quantities represent information-theoretic network measures which are based on using information functionals involving vertex degrees. We prove bounds for entropies which are based on information functionals using degree powers and come up with interrelations between different measures. Such interrelations are important to study connections between the measures required to understand the measures in depth.
Keywords: Shannon’s entropy; Graph entropy; Degree powers (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315007791
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:265:y:2015:i:c:p:983-993
DOI: 10.1016/j.amc.2015.06.003
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().