Study on Mining Method of Network Fraud Gang Based on Big Data Analysis of Microblog

As social media plays an increasingly important role in people's lives, microblog has become a very popular social platform in Chin. While microblog brings convenience to people in information transmission, it also brings the problem of many criminals using it to commit fraud., Fraud gangs use microblog to set language traps to defraud others of money and profit. In this regard, the sociogram is used to represent the social network of microblog. The network is a directed graph, with nodes representing microblog users and connecting lines representing the propagation path of microblog, so as to connect the initiation node of microblog and the forwarding node of microblog. In addition, this article will analyze the methods used by fraud groups through in-depth analysis of social networks and the use of data mining techniques. In the following paper, the structural composition and detailed characteristics of the microblog fraud group will be analyzed in detail. It looks for potential fraud groups on microblog to help users identify scams and avoid being tricked.