Algorithms for Maximum Leaf Spanning Tress of Edge-Growing Network Models in Information System

Author:

Wang Xiao Min1,Zhao Xi Yang1,Yao Bing1,Yao Ming2,Chen Xiang En2

Affiliation:

1. Northwest Normal University

2. Lanzhou Petrochemical College of Vocational Technology

Abstract

For system modeling, simulation techniques and sensors networks the edge-growing network models with any connected initial network model are introduced in this paper. We design some algorithms for finding Maximum Leaf Spanning Trees (MLS-trees) of the models. Our algorithms can find the MLS-trees having scale-free behavior and short diameters. These algorithms are designed by techniques including big-degree-first level-searching and first-first level-searching in order to scan the desired spanning trees.

Publisher

Trans Tech Publications, Ltd.

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