Chasing Science Culture

Representing networks is a major interest of researchers in information visualization. In this article, I present novel visualization techniques based on Jacques Bertin’s reorderable matrices. As the human brain is particularly effective at processing visual information, researchers in computer science developed a number of visual exploration systems to analyze graphs and networks. In the last five years, massive online social networks became available for scientists to analyze, pushing researchers to innovate in the field of graph visualization. In this article, I present recent techniques designed to visualize large and dense social networks based on Jacques Bertin’s reorderable matrices.