基于社交网络分析的诈骗团体挖掘方法研究

摘要

微博作为一种重要的社交方式,逐渐融入大众生活,用户在平台上可以随时随地抒发个人情感、分享信息等.微博在给人们带来信息传递之便利的同时,也带来了不少不法分子利用其进行诈骗的问题.诈骗团体利用微博设置语言陷阱,以此骗取他人钱财、夺取他人利益.对此,利用社群图表示微博社会网络,该网络是一有向图,节点表示微博用户,连接线表示微博传播路径,以此连接微博发起节点和微博转发节点.另外,研究社会网络分析的方法和数据挖掘的技术,对诈骗团体进行分析,对该团体应具有的组织结构、特性进行定义,分析出微博中诈骗团体应该具备的特征,并以此寻找微博中潜在的诈骗团体,帮助用户识别诈骗,避免上当受骗.最后用案例验证了该方法的有效性.%As an important social way,Weibo has been integrated into public life.Users can express personal feelings and share informa-tion anytime and anywhere on the platform.In addition to the convenience of message transmission,Weibo also brings a lot of criminals to use it for fraud.The fraud groups use Weibo to set the language trap for money and interests of others.For this,we use the social dia-gram to express Weibo social network which is a directed graph.Nodes represent Weibo users,and the connection lines represent Weibo propagation path,to connect Weibo initiated node and Weibo forwarding node.Besides,we use the method of social network analysis and data mining technology to analyze the fraud group,thus defining its organizational structure and characteristics,finding out the potential fraud group in Weibo,which helps users identify the fraud and avoids being deceived.Finally,the validity of the method is verified ac-cording to a case.