Dynamic Time-Series Social Networking Visualization System

Social network analysis, not only in the modern sociological research, has wide applications in other areas of great significance, such as biology, communication studies, economics, information science, organizational studies, social psychology, and social linguistics, etc. Social network analysis has become a widely concerned of the topic of research and exploration. Visualization is an effective tool for social network analysis, and visualization technology research has a long history. All kinds of visualization technology is continuously developed and improved, but with in-depth study of social networks, it is discovered that network not only has a rich topological properties, but also the time characteristics of dynamic. How to visual effectively the dynamic network and through time-based data to analyse dynamic social network obtain more and more people concern, and based on dynamic social network research has become a new hotspot.Social network is a dynamic network changes over time, the network topology and nodes will change by time. How to bring the time factor into a visual display has encountered new problems in information visualization. This article is based on the existing network visualization techniques as well as time visualization tool for the study, detaily explorated the impact of the time factor on network visualization, proposed a dynamic network visualization model based on time-line model, and designed to achieve a dynamic time series of network visualization system. System design a complete set of dynamic network visualization for the analysis of processes, and provides an effective visual display means for data and time data. System not only support a effective multi-dimension dynamic display for existing network, and through a flexible user interaction, allowing users from, different dimensions, different time granularity, as well as a continuous period of time to inspect the dynamics of the network, so as to provide a comprehensive wealth of clues materials for forecasting future changes in the network...