Title: "Historical Correspondence Networks: Data Analysis"

Abstract:
The correspondence patterns of historical persons are not only of historical interest, but also part of human interaction patterns.
In this talk, we will present our static and temporal analysis of correspondence networks. 
We start with static analysis of three datasets and then we study how correspondence networks evolve over time. 
We also discuss the different patterns displayed by static graphs and temporal graphs respectively.