Instructor: Guy Melançon (email:
Guy dot Melancon at labri dot fr)
Visual Analytics is (as defined by Cook and Thomas 2006) is the science of analytical reasoning facilitated by interactive visual interfaces. (See the InfoVis Wiki)
The domain and questions
The Enron Email datasetcontains about 0.5 million email exchanges (messages) collected from 150 individual email account. The messages concern more than 30 thousand person involved in these exchanges. The motivation for inspecting such a dataset is in a sense similar to that of the actual Panama Papers affair.
There are a number of questions one can ask about this data, with most probably the intention to identify the most prominent actors – those by whom the troubles may have emerged, let's say.
The data, the one found on the Stanford Network Analysis Project is organized as a network (a graph) where:
Remark Can you think of other types of networks, or any other type of dataset one can build from the raw material describing all email exchanges (the 0.5 milloin full messages)?
Remark How does the choice of building the network the way it is on SNAP limits the questions we can hope to answer?
What do you see? (The layout)
The (network) analytics
We may expect major actors as having exchanged more messages than others. A way to spot these players is to compute the degree of nodes (the number of edges connected to a node).
More visuals (Color mapping)
More analytics (Actor Centrality)
Make it simple and readable (Aggregating things)