The Design And Implementation Of Microblog Data Analysis And Visualization Display System In Shandong Province

Based on the background of enterprise microblogging marketing, the paper study on the spread mode of microblogging in social network, to design the microblog data analysis and visualization display system. This system can be used for microblogging analysis and visualization display, microblogging forwarding traffic analysis evaluation&analysis. According to this system, we present the proposal about optimization of corporate marketing programs and present the rationalization suggestions.The function I is the microblog Communication Analysis and Visualization display. This paper analyzes the phenomenon of light diffraction and found that it has a certain similarity with the spread of microblog. The theory is about as light source microblogging, microblogging forwarded as a reception point, according to the principles of the diffraction of light, each receiving point can be used as a new light source, its influence does not decrease with increasing distance, and through this method bypasses are not forwarded microblogging. Accordingly, we present microblogging forward diffusion process flow chart and step into a state diagram. Thus, we arrive microblogging messages model of transmission and mechanism of propagation modes microblogging, microblogging forward mapped out diffusion model diagram.The function II is to build microblogging forward traffic analysis. Through the relevant materials, we can divide the microblogging users into the unknown user and forwards user and read-only users. As microblogging forward meets the Markov process, we established a Markov chain to analyze the amount of microblogging forward. However, it is difficult to calculate the number of users, so we used the number of users as the user density, and gives the user forwards microblogging forward user probability density calculation formulas and analytical method. We have established a number of fans after growth model to calculate news coverage repetition rate, and gives three days after receipt of the number of users of microblogging formula. Through the analysis of the actual data and found that the model is better.The function III is about the evaluation and analysis of microblogging. The evaluation of the quality of microblogging is of great significance, and how to find the right methods to evaluate the quality of micro-Bo is a difficult problem. We found that the number of fans, fans concerns the number of fans of the activity and interaction degree on the quality of microblogging has an important impact. Thus, we used the amount of these established microblogging evaluation model as microblogging microblogging number of fans on the quality, quantity and reviews microblogging forward the amount of three variables function expression, and removed the network of water army of micro Bo errors caused by the amount of influence the audience.According to the previously established model, we designed a microblogging marketing programs, and gives the rationalization proposals. First, we use the viterbi algorithm to select the part of the optimal path, the state probability and not an intermediate node of the path state and the maximum, solving the Markov chain step by step through a node with the highest evaluation value, to find the optimal path to obtain the optimal marketing programs. Through the microblogging evaluation model, we found this method to evaluate the value of the high. Thus, we give the marketing programs that focus on micro-blog content, fans quality, quantity and fan activity, increasing the proportion of high-end bloggers, positive interaction with the fans.Finally, according to the above models, we use C#as the implementation language to visual studio2012as a platform to achieve a microblog analysis and visualization display system. The system is mainly to achieve our above functions. The interface includes five aspects, namely, documents, functions, visualization display, tools, Window, and Help. Software design and implementation, we can load our model to the real system, it has a better application prospect.