Técnicas de análise visual de redes temporais

Abstract

There are many proposals in the literature that use Information Visualization to visualize networks, but there still exist several challenges in the area, as the lack of thechniques that improve the interpretation of big data and their relationships. This thesis presents the study and application of data visualization techniques in Temporal Networks. The goal is to identify patterns that will help to explain phenomena and behavior from various scenarios. As a result of this study, we present a system, called DyNetVis, which can be used to test the effectiveness of the proposed techniques, well be make these techniques available to the scientific community. Finally, we present results of the application of the proposed techniques in temporal networks using the developed system. With the utilization of the propose techniques, it is possible to recognize patterns that were difficult to identify without the techniques.