Chris von Csefalvay is an expert technologist specialized in big data that posted an article yesterday that has been getting much attention. He did a network analysis on a sample of 30,000 tweets (about 5K per day) from December 1st to December 6th 2014 that used the #Gamergate hashtag. It is an interesting read. He did clustering methods in order to analyze the data and then did network visualization to produce the graphs.
The first picture I attached is focused on the nodes with a degree equal to or greater than the average. There is a visible center even though the #gamergate network is "leaderless". Almost 35% of the nodes and 3/4 of the node edges are part of the whole "giant component", explains von Csefalvay in is his article.
Here is part of his conclusion after all his findings:
"Instead of a concentric, hub-and-spoke pattern, in which a few personalities emerge as leading the field and engage/are engaged by others, in the case of #Gamergate, it's small community clusters that lead the field. The participants are strongly interconnected, but thanks to the hashtag's ubiquity, most users seem to be open to contact and interaction with most other users, leading to a diffuse and weakly linked structure. For a political/consumer pressure group, this is definitely a clear advantage."
Of course, all of these findings are not able to prove or disprove if Gamergate is a hate group or not. It's still a pretty interesting analysis. Make sure to read his full post to get a full grasp of his analysis. What is everyone's thought on this?