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Generalized Degree-Based Graph Entropies.

Authors :
Guoxiang Lu
Source :
Symmetry (20738994). Mar2017, Vol. 9 Issue 3, p29. 13p.
Publication Year :
2017

Abstract

Inspired by the generalized entropies for graphs, a class of generalized degree-based graph entropies is proposed using the known information-theoretic measures to characterize the structure of complex networks. The new entropies depend on assigning a probability distribution about the degrees to a network. In this paper, some extremal properties of the generalized degree-based graph entropies by using the degree powers are proved. Moreover, the relationships among the entropies are studied. Finally, numerical results are presented to illustrate the features of the new entropies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20738994
Volume :
9
Issue :
3
Database :
Academic Search Index
Journal :
Symmetry (20738994)
Publication Type :
Academic Journal
Accession number :
122626870
Full Text :
https://doi.org/10.3390/sym9030029