摘要
社会网络作为数据挖掘的一个分支,近年来得到迅速发展并成为研究热点之一。国外针对该问题的研究广泛应用在疾病的传播、科学家的合作、文献引用和恐怖分子网络等方面。本文介绍了数据挖掘和社会网络的基本概念,给出了处理社会网络问题的基本分类和解决方案,并针对动态社会网络的两个子领域,即博客圈和犯罪调查进行详细的算法描述。
As a branch of Data Mining,Social Network experiences ever-increasing development in recent years.Based on network theory and traditional data mining technology,social network is researched intensively in many fields,including spread of diseases,collaboration between scientists,references of articles and network of terrorist etc.This paper introduces the basic concept of Data Mining and social network Discovery.Classifications and Solutions to social network are also discussed.For two sub-domain of dynamic social network,namely blogosphere and criminal investigation,detailed algorithm description is given.
出处
《电子测试》
2013年第4S期170-171,共2页
Electronic Test
关键词
数据挖掘
社会网络发现
Data Mining
Social Network Discovery
