0


Doulion:在大规模计算三角形图中使用硬币

Doulion: Counting Triangles in Massive Graphs with a Coin
课程网址: http://videolectures.net/kdd09_tsourakakis_dctmgwc/  
主讲教师: Tsourakakis Charalampos E
开课单位: 卡内基梅隆大学
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
统计图中的三角形数是一个漂亮的算法问题,由于它在复杂网络分析中的重要作用,近年来得到了广泛的重视。通常计算的指标,如聚类系数和传递率,涉及执行三角形计数算法。此外,一些有趣的图挖掘应用程序依赖于计算感兴趣图中的三角形数。本文主要研究了图形中三角形的计数问题。我们提出了一种实用的方法,所有的三角形计数算法都有潜在的好处。我们将一个正三角形计数算法作为黑盒,在现实网络和合成数据集上进行了166次实验,结果表明,我们的方法具有高精度,通常超过99%,并提供了显著的加速,从而使性能提高了约130倍。
课程简介: Counting the number of triangles in a graph is a beautiful algorithmic problem which has gained importance over the last years due to its significant role in complex network analysis. Metrics frequently computed such as the clustering coefficient and the transitivity ratio involve the execution of a triangle counting algorithm. Furthermore, several interesting graph mining applications rely on computing the number of triangles in the graph of interest. In this paper, we focus on the problem of counting triangles in a graph. We propose a practical method, out of which all triangle counting algorithms can potentially benefit. Using a straight-forward triangle counting algorithm as a black box, we performed 166 experiments on real-world networks and on synthetic datasets as well, where we show that our method works with high accuracy, typically more than 99\% and gives significant speedups, resulting in even $\approx$ 130 times faster performance.
关 键 词: 聚类系数; 传递性比; 图形挖掘应用程序
课程来源: 视频讲座网
最后编审: 2019-11-22:cwx
阅读次数: 30