A temporal visualization method for dynamically analyzing networked information
Original Publication Date: 2004-Sep-30
Included in the Prior Art Database: 2004-Sep-30
Networked information structure is one important data type. As the amount of information in these structures increases exponentially, it becomes increasingly difficult for users to find information and increasingly easy for users to be overloaded with information. Information visualization enables people to deal with all of this information by taking advantage of our innate visual perception capabilities. In this disclosure, we proposed a temporal visualization method for dynamically analyzing networked information at different time points. In this method, two distinct networks at different time points are compared, and then their similarities and dissimilarities are visualized. Based on this, the user can have an overview of the evolution of the network structure.