Improved Search Algorithm Based on Probability of Node's Degree on Complex Networks

Yiran Gu, Wenwen Zhao
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引用次数: 2

Abstract

As a hot research topic recently, complex networks have important practical significance and research value in studying of the search strategy and finding the specified files or data and determining the shortest path between nodes. Since the nodes with the highest degree are very susceptible to network congestion, we present an improved algorithm based on breadth-first search algorithm and high degree seeking algorithm. The current nodes transmit the query message to the neighbor nodes with the higher degree depending on their probability P of the nodes' degree. Our strategy can redistribute traffic load in central nodes to non-central nodes. The simulations are made on classical networks models and real networks. Our results indicate that the proposed search algorithm has better search results.
基于节点度概率的复杂网络改进搜索算法
复杂网络作为近年来的研究热点,在研究搜索策略、查找指定文件或数据、确定节点间最短路径等方面具有重要的现实意义和研究价值。针对高阶节点极易受到网络拥塞的影响,提出了一种基于广度优先搜索算法和高阶搜索算法的改进算法。当前节点根据节点度的概率P将查询消息传递给度高的相邻节点。我们的策略可以将中心节点的流量负载重新分配到非中心节点。在经典网络模型和实际网络上进行了仿真。实验结果表明,本文提出的搜索算法具有较好的搜索效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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