How to calculate centrality measures for a 4 million edge network?

I have a CSV file with 4 million edges of a directed network representing people communicating with each other (e.g. John sends a message to Mary, Mary sends a message to Ann, John sends another message to Mary, etc.) I would like to do two things:

1. Find degree, betweeness and (maybe) eigenvector centrality measures for each person.
2. Get a visualization of the network.

I would like to do this on the command-line on a Linux server since my laptop does not have much power. I have R installed on that server and the statnet library. I found this 2009 post of someone more competent than me trying to do the same thing and having problems with. So I was wondering if anyone else has any pointers on how to do this, preferably taking me step by step since I only know how to load the CSV file and nothing else.

Just to give you an idea, this is how my CSV file looks like:

$ head comments.csv
"src","dest"
"6493","139"
"406705","369798"

$ wc -l comments.csv 
4210369 comments.csv