1. call-stack:



    Studying the reblogging

    These graphs represent the network created by tumblr bloggers who reblogged a previous post of mine. The first graph corresponds to the network formed after 2 days, and the second one is the same network after 3 days. In both networks, there are some clusters, where a blogger reblogs my post and after that successive rebloggings are occuring from his/her followers. I created a little program in Mathematica, which can read the notes of the post and identify who reblogged from whom.

    I have attributed a name to some of these clusters  by the name of the blog located in the root of the cluster. For example, my cluster is the number 1. The biggest cluster though, for the first graph, is that of jtotheizzoe. For the second graph, the huge cluster is that of n-a-s-a, which has its origin from the jtotheizzoe’s cluster (number 2)… The seperated couples at the bottom are users that have reblogged my post by the ‘likes’ list’ of the other user, and then I couldn’t know where they came from…

    I really enjoy that, and I’m curious how the structure of the network will look like eventually…

    This a very cool analysis of Tumblr post spread. It’s very interesting to see how content spreads over days from the original poster, and how its life span and amplification change. It’s sharing, visualized.

    I’m happy to be a node on this, as well.

    I have wanted to write something to do this for a while now.

    (via roomthily)