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DEGREE-BASED GINI INDEX FOR GRAPHS

Authors :
Hosam M. Mahmoud
Carly Domicolo
Source :
Probability in the Engineering and Informational Sciences. 34:157-171
Publication Year :
2019
Publisher :
Cambridge University Press (CUP), 2019.

Abstract

In Balaji and Mahmoud [1], the authors introduced a distance-based Gini index for rooted trees. In this paper, we introduce a degree-based Gini index (or just simply degree Gini index) for graphs. The latter index is a topological measure on a graph capturing the proximity to regular graphs. When applied across the random members of a class of graphs, we can identify an average measure of regularity for the class. Whence, we can compare the classes of graphs from the vantage point of closeness to regularity.We develop a simplified computational formula for the degree Gini index and study its extreme values. We show that the degree Gini index falls in the interval [0, 1). The main focus in our study is the degree Gini index for the class of binary trees. Via a left-packing transformation, we show that, for an arbitrary sequence of binary trees, the Gini index has inferior and superior limits in the interval [0, 1/4]. We also show, via the degree Gini index, that uniform rooted binary trees are more regular than binary search trees grown from random permutations.

Details

ISSN :
14698951 and 02699648
Volume :
34
Database :
OpenAIRE
Journal :
Probability in the Engineering and Informational Sciences
Accession number :
edsair.doi...........a8f406c0c2c04a2ada6c4a4ad322a927