Today I’ve been mapping some social networks on Gephi, and really trying to develop my knowledge of the program a bit. I wish that I’d come across this a long time ago because I do feel as though I’m rushing to take everything in at the moment, but it’s going okay for now.
I started by mapping my Facebook network. I used Persuasion’s fantastic guide on mapping Facebook networks, which has definitely been one of the most useful guides I’ve seen to mapping data on Gephi. Unfortunately, for me anyway, it’s been a bit of a mystery and has involved an awful lot of guess work to try and figure out how to use it. I’m still trying to get my head around .csv files.
I retrieved the connection data using netvizz – a Facebook app that trawls your network and pulls out all kinds of data. You’ll need to install the app to do the same (just search ‘netvizz’ within Facebook), but it’s fairly straightforward. I imported the data to Gephi as a .gdf file – make note, because this took some fiddling around with for me. I couldn’t get the file to just save as .gdf for some reason, but I eventually got there. (You might not be as new to this as I am so it might not be such a headache!).
Following Persuasion’s guide, this is what I came up with:
I added the labels myself as annotations in Preview. They’re not exact, but, they’re pretty close. I’ve set the parameters to exclude anyone that has no network connections with anyone else on my list. There are a couple of people who are (technically) mislabeled here, as they might provide the most significant number of connections to others (for example, the individual that has the largest node is a friend I met in 2007, but through her I have met a lot of people since 2010, so she is in that ‘group’).
Pretty cool hey? I’m hoping to do some more updates as I have more of a play around with the program this afternoon. I’m going to try to retrieve some information about place from the data now, so hopefully there’ll be something interesting to see later on.