Collaborative Leaming Oriented Social Nerwork Structure Analysis And User Behavior Modeling

Blog is a new type of social software in recent years. After its occurrence, a brand new revolution has been brought to the way of communication in the internet world. Correspondingly, the research on the Blog by the scholars has been represented in various methods which covered the area of Computer network technology, communication, journalism and sociology etc. The paper provides data basis for social communication platform and other area research with the empirical research on the development of blog in China.This paper conducted the research on social networks, and how to promote the communication between the blogs. It analyzes and describes blog networks with the method of practical statistics and social networks analysis based on data. The paper explores the critical factors influenced the users behavior by digging and analyzing the behavior in social networks. Meanwhile, it attempted to establish accurate model to describe user behavior, so as to fulfill the service for the practical application demand. In this paper, more emphasis is brought on experimental results and the relevant conclusion of practical applications aside form reasonable theory.The specific research contents of this paper, mainly consists of five chapters. The first chapter introduced the problems to be solved and the relevant solution from illustrating the significance of the research and applied field under the background of currently social network platform. In Chapter Two, a couple of basic principles and theories about social network are mainly introduced. First of all, knowledge about social network analysis like centrality is introduced. Secondly, it mainly introduced several important propagation mode around the discussion of network transmission dynamics; Last but not least, it conducted an detailed study on user behavior and introduced the common user behavior mode.In Chapter Three, it conducted the research on different user characters in user-centered social network by taking hot topic of micro blog as example which has proposed the mode of the implicit links based on keywords and customer relationship network model on the study of on line social network micro system. In Chapter Four, it summarized the pattern of user behavior and presented the information propagation mode in social network on analyzing the user behavior and propagation mode deeply.In Chapter Five, after the basic introduction of cooperative learning, it fully evaluated and promoted the research of attribute weight information on the fuzzy multiple attribute decision-making problems with the help of social network analyzing instruments. According to the basic principle of Topsis, it calculated the positive ideal solution and negative ideal solution of Hamming distance in each case. And then it also calculated the ranks from relative closeness to positive ideal solution based on weighted Hamming distance. At last, it proposed the evaluation research in cooperative learning in the Concrete example of social network analysis.The paper describes the transmission mechanism and evolution trend of online social networks information by building online hot topics focused model based on interest in attenuation and adaptive interest drive model and nonhomogeneous poisson model. It explores the influence of social networks to collaborative learning base on the research above. The model plays a critical role on research process and provides convenience to the exploration of characters especially.