基于用户行为的社交网络挖掘分析  

Analysis of Social Network Mining Based on User Behavior

作　　者：刘青青[1] LIU Qing-qing(College of Mathematics and Science, Luoyang Normal University, Luoyang 471934, China)

机构地区：[1]洛阳师范学院数学科学学院,河南洛阳471934

出　　处：《洛阳师范学院学报》2017年第11期56-59,共4页Journal of Luoyang Normal University

摘　　要：本文基于分布式云计算,提出了一种社交网络行为搜索算法,其可以增加影响因素,并把时间箭头和页面相关因子转化为挖掘因子,从而可提高挖掘性能的计算和搜索效率.实验证明,该计算有较好效果,并对云计算的用户分析具有指导意义.This paper comes up with social network behavior search algorithm based on Hadoop cloud computing.The main reason is to increase the impact of factors.Time arrow and page correlation factor are transformed into mining factors,so as to improve excavation performance and search efficiency of mining performance.The experiment proves that the calculation is effective.And it has guiding significance for user analysis of cloud computing.

关 键 词：分布式计算 用户搜索 社交网络 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]