基于四叉树的大规模网络加速布局

Yao Zhong-hua, Wu Lingda
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引用次数: 1

摘要

随着网络规模的增加,大规模网络数据的采集任务变得更加困难。在网络绘制过程中,很难充分反映其内部结构。本研究提出将整个网络建模为一个多粒子仿真系统,实验结果表明,所提出的方法可以有效地降低网络布局算法的时间复杂度,并有效地显示网络结构特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerated layout for large-scale network based on quadtree
With the increment of the scale of the network, the task of large-scale network data becomes more difficult. In the process of network drawing, it is difficult to fully reflect its internal structure. This study proposes to model the whole network as a multi-particle simulation system, experiment results show that the proposed method can effectively reduce the time complexity of the network layout algorithm and efficiently show the network structure characteristics.
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