Context: Users discussing politics in Russia are self-segregated into four communities:

A political user graph is pictured to the left, where each node (or dot) represents a user and the edges (lines) are the follower links between users. The size of each user's node represents the number of other users who follow them. Nodes are spaced relative to each other, as users who are highly connected (such as directly following each other or connected through their friends) are close to each other, and those who are sparsely or not at all connected are placed far apart. This places nodes into natural clusters within communities they themselves have created. Finally, nodes are coloured according to the community they are in, which can be detected statistically.

The resultant 'pollock' shows a couple things. Russian political users self-segregate (based on who they follow) into distinct communities. Unsuprisingly, this online self segregation parallels wider political segreation in Russia:

  1. the two distinct political potitical camps are represented—the pro-government (purple) and the non-systemic (teal) communities.
  2. there is a central community of influencial 'centrists', where many well known politicans and information sources important to everyone are located
  3. there is also a community of school age users. These young Russians discuss their lives and mainstream events, only rarely venturing into direct political discussions

(This network represents users discussing political topics on Twitter, assembled between December 2016 and June 2017)

Daily reaction by each of the four communities

The content (by #s) shared in each community