The Social Network Analyze And Abnormal Detection Base On SPC And Graph Series

Social-Network-Analyze is base on Anthropology, Psychology Sociology andGraph theory. It is70years since been invented. Computer-Network has developed fastin the past50years. With the great development of the computer science, the researchof big social-network is become possible. Nowadays, there are a lot of applications ofSocial-Network-Analyze on the intelligence science, medical science. Statistic ProcessControl is wildly used in manufacturer many years, it is the application of statisticaltechniques in all stages of the process to assess and monitor to keep the product andservice in a state of quality-control, it is very easy to use no matter one has little maththeory. Graph Theory is a fundamental aspect of Social-Network-Analyze, and it’s alsoa wild used tool in science and engineering. It is promising to use abnormal detectionmethod base on SPC and graph series in Social-network-analyze. In this paper, wecreate the social network through the data of email connect published by Enroncompany, use SPC and graph series to analyze the social network base on the dataand do the abnormal detect.