The Visualization Of Weibo Personal Data Based On The Recommendation Algorithm

WeiBo system has been increasingly becoming an important common platform for people to obtain and share information and ideas with an unlimited scalability of human society,and there is a huge amount of academic research value behind the massive data.The focus of this research is to investigate new methods in WeiBo data collection,mining and visualization and implements the WeiBo personal data visualization system based on the recommendation algorithm.In this thesis,we proposed a new framework that consists of three main components: Data Acquisition Subsystem,Decision Making Subsystem and Data Visualization Subsystem.The Data Acquisition Subsystem,the system solves the identity authentication problem by simulating the landing method.In the subsystem of data decision making,transforms the original data into visual data.The system focuses on the WeiBo User Relationship Computing module,use the recommendation algorithm to calculate the relationship between two people.And using the-algorithm to extract the WeiBo keywords.Data Visualization Subsystem is presented by the browser data mining results.In this paper,histogram,line chart,polar coordinates,map,and tag clouds and graphs are used to present data analysis results.The main contributions and innovations in this article include:(1)The design and realization of WeiBo data acquisition,data processing and analysis,personal information visualization system.The system realizes the calculation of user relationship and the function of Weibo user analysis,which provides the basic platform for the follow-up research.At the same time,we use Redis database as the cache of data processing,and reduce the response time of system.(2)The system realizes using the recommendation algorithm to measure the relation degree,and based on the SVM algorithm,the relationship degree is calculated by the probability of each classification.In the visualization module,the distance is displayed in the graph by the degree of relationship.