The Rough Attribute Graph Analysis Model of Web Social Networks and Its Rough Features

According to the social network having the characteristics of rough with information under Web environment that the Web data has a tremendous amount of junk content and garbage link, while much information is incomplete and missing, the structure of the attribute graph is improved. Firstly, rough vertex attribute graph and rough edges graph are put forward combining with the superiority of rough set theory solving incomplete information based on attribute graph that is given by author attributes. Further more, the rough attribute graph which can describe the complex Web of incomplete social network information and the dynamic changes of links is given so that the Web social network structure is analyzed in an even better fashion. Lastly, the rough characteristics of rough attributes graph is analyzed that the accuracy of rough attributes graph is related with vertex and edge set property division level .In other word, people´s cognition of graph is closely related with the accuracy of graph.