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

Autor: Xiaomin Wang, Bing Yao, Xi Yang Zhao, Xiang En Chen, Ming Yao
Rok vydání: 2015
Předmět:
Zdroj: Applied Mechanics and Materials. 775:431-435
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.775.431
Popis: 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.
Databáze: OpenAIRE