I’ve been reading “Six degrees of separation“, which is amazing book on social network science.
In one place of the book, the author mentions a speech he has heard from Harrison White in 2000 focusing on that “people know each other because of the
things they do, or more generally the contexts they inhabit…..All the things we do, all the features that define us, and all the activities we pursue that lead us to meet and
interact with each other are contexts.”
And finally, the conclusion given is that the contexts in which we participate (which can be several – where we live, where we work/study, what our hobbies are) are of great importance for the network structure that we create afterward.
And of course this is something all of us understand even intuitively, regardless how deeply embedded we are in the social structure, how communicative we are and so on. But it is cool to kind of see it on a graph. So that is what I did – exported my Facebook graph, used gephi to create the image of my social network.
I was working on Gephi and the graph layout I used is ForceAtlas2, and calculated the average degree (6.641) and my connected component is 12. I filtered it by giant component, removing several nodes that were not connected to any other note on my social graph. That is why the graph you see above is not showing all my friends.
This graph’s goal is not to show something new or groundbreaking. Far from it, but I can see how my friends are connected to each other in the various groups and if there are people acting as bridges for any groups. And they are, for example Doychin is the one who helped me go to Alaska.
I will be continuing working on developing further my skills at those types of analysis and posting it here, so join me for interesting conversation!