大规模的图计算在社群发现领域应用

Application of Large-scale Graph Computing in the Field of Community Discovery

阐述一种基于Spark的分布式计算模式,它实现社群划分Louvain算法,使用开源海量数据集进行结果验证和统计,分析了该算法在分布式大数据环境情况下的适应性。

This article elaborates on a Spark based distributed computing model that implements the Louvain algorithm for community partitioning.The results are validated and statistically analyzed using open-source massive datasets,and the adaptability of the algorithm in distributed big data environments is analyzed.