摘要
社会网络分析是对社会关系结构及其属性加以分析的一套规范和方法。这篇文章旨在研究社会网络的异常检测问题。以社会网络分析技术为基础,在Matlab数据分析环境中利用Wavelab小波分析工具包中的平稳小波对社会网络的异常情况进行动态检测。首先归纳了平均通信量这一社会网络数据特征,搜集一组需要的真实数据,然后对数据进行平稳小波分解,并且运用梯度加权方法对分解结果进行了相应的处理,最终得到了较为理想的实验结果。
Social network analysis is a set of norms and method to analysis the social relations structure and its attributes. This paper aim to do research on the problem of social network change. Based on the social network analysis technology and in Matlab data analysis environment, use Wavelab wavelet analysis toolkit for the stationary wavelet to detect abnormal conditions of social network for dynamic measurement. First defines the average traffic characteristic of social network, search for a group of real data, decompose the real data for stationary wavelet, and use the rational gradient weighted method to process the decomposition results correspondingly, finally got the ideal experimental results.
出处
《电子设计工程》
2013年第13期31-33,共3页
Electronic Design Engineering
关键词
社会网络分析
异常检测
小波分解
梯度加权
social network analysis
abnormal conditions
wavelet decomposition
gradient weighted
