Mobile Social Networking And Visualization Algorithms Research

Social networks have developed rapidly in recent years, the traditional method of data analysis users and researchers has been difficult to meet the need for data analysis and management. In order to make people better analyze information in the structure of social networks and social networking, development of computer visualization technology has come a long way. How to ensure the correctness and more aesthetically pleasing shows under conditions of clear and reliable relationship between the nodes in the graph is to research problems in the computer visualization algorithms.In order to better achieve the social network visualization algorithms, based respectively on social network analysis methods and computer visualization of some commonly used algorithms for in-depth analysis and research. Meanwhile, the social characteristics of the call history data used in this article, for vertices and edges in the network are proposed to combine social network analysis method of the vertices and edges of the improved data visualization algorithm.Visualization algorithms for network vertices in T.M.J.Fruchterman's algorithm is proposed based on community modularity maximization algorithm of detecting method on the call record data by visualizing each user's circle of friends, and considering the importance of network nodes during the layout process to optimize the rendering, call history data is used to be implemented better visual effects.Visualization algorithms for edge FEDB(Force-Directed Edge Bundling) algorithm optimization based on improved, proposed adjustment method of boundary points of correspondence, was added to the algorithm "friction" factor to accelerate the convergence rate, call records and tied to the back of the base station location information for analysis of the results.