On the Temporal Analysis of Scientific Network Evolution
In this paper, the authors approach the definition of new methodologies for the visualization and the exploration of social networks and their dynamics. They present a recently introduced formalism called TVG (for Time-Varying Graphs), which was initially developed to model and analyze highly-dynamic and infrastructure-less communication networks, and TVG derived metrics. As an application context, they chose the case of scientific communities by analyzing a portion of the arXiv repository (ten years of publications in physics). They discuss the dataset by means of both static and temporal analysis of citations and co-authorships networks.