Who Knows Who in My Social Network

So, I’ve been playing around with Gephi for a few weeks, following several examples from OUseful.Info, the blog and the Gephi tutorials page. I’ve been wanting to create visualizations of my social networks and until now I haven’t had much time.

Initially my wheels were spinning in place because I couldn’t grab my Facebook data in a format suitable for Gephi. The recommended application Netvizz for Facebook data wasn’t working. It took me some time to find an alternative But I did. I found an alternative called NameGenWeb. This app will let you download your Facebook connections data in Guess, UCINet, or GraphML for use in Gephi. It also gives you an option to delete the data. Though, if in fact the data is actually deleted we can’t know for sure.

From there I basically followed this tutorial. I played around with various Gephi layouts until I settled on one that was visually appealing AND representative of my data. This is a balancing act that needs further reflection. Still, what I realized during this process is that those on my network who are heavily connected are those that I interact with the least in person or on Facebook.

networkviz

The dark blue clusters are essentially high school “friends.” They are the connections that I typically hide in my feed window because I don’t want to see their gaming scores, to-do lists, or what not. Though Facebook is essentially a lot of what not, isn’t it?  Why don’t I delete? I don’t delete because it is too much trouble. Besides, deleting “friends,” even the artificial kind, can potentially lead to awkward social encounters. (yes, this happened to me).

In this visualization I also have outlier clusters. These clusters represent recent friends, students, or colleagues from various locations. Surprisingly, those outlier clusters are friends I tend to interact with on a regular basis.

What I like most about the exercise of visualizing my social network is that it creates a narrative of the relationships I have with “friends.” Relationships that I didn’t really think much of before capturing it within my visual field.

 

Gephi Visualization

I’ve been toying around with Gephi an open source visualization platform for a project I’m involved with. I wasn’t getting anywhere with it, until I ran across Tony Hirst’s tutorial: Visualising Twitter Friend Connections Using Gephi: An Example Using the @WiredUK Friends Network. The tutorial is well written. Give it a try.

After playing around with Gephi for the better part of the day, I finally came up with this:

twitterviz

Operation Enduring Freedom Casualty by Category Viz

This visualization was created from the Department of Defense OEF casualty by category within military service data (Oct 7, 2001-May 31, 2011). It was a bit unnerving to see the amount of non-hostile deaths, especially accident and self-inflicted.

Visualization of Operation Enduring Freedom Casualties

I created this Treemap visualization of Operation Enduring Freedom Casualties from the Department of Defense. This is just a sample of data from a larger visualization project that I’m playing around with.