The Design And Implementation Of A Social Network Based On Trust Path Finding

SNS is Social Network Site, It originated in the United States, and rapid growth in the China, SNS is a network platform to build social relationships between people, there are many different relationships between us, for example friends, classmates, colleagues, or strangers, people through hobbies, information forwarding, comments and other means of information to establish contact, and build a circle of friends, The development of mobile Internet promotes the growth of SNS network, users can share their life anytime, anywhere by mobile phone, the other users build relationships with their comments, and focus users. At present, Tencent、XiaoNei has a large number of users, etc. group, circle of friends, interest groups are also unusually large, and generate a large amount of information every day, but in many times the user’s behavior is random, through analysis and mining these data, we can have a tremendous social benefits.At present, many companies have noted the value of the user data,begining to analyze user behavior, such as Taobao、Jingdong and other sites, through a similar analysis of the user,and the user transaction information, may recommend related products for similar user, saving the user time to select products, Recommended mode is instead of selection mode. Microsoft also through the analysis of user relationships, to develop a "people Cube" system that allows users to quickly find their own personal connections.The project with social networks, based on the analysis of individual user characteristics and behavior, generates relationships mining infrastru cture networks throughout the SNS. there are many analytic methods, for example 、 collaborative filtering, content filtering, etc. this project through user data of third-party SNS, to analysis, cleansing, then builds user trust model, and show the user social network.