Thanks @crokkon,

In this, my first attempt at this refining an algorithm to detect Steem communities based on network graphs, I have not looked at vote value directly but performed a clustering algorithm to detect modularity based on the density of connections between nodes. In this case based on Vote Count.

I was very interested to see if small groups were forming and if one or a small number of people was being rewarded for being part of community. That does not appear to be the case.

It would be interesting to extend this analysis to cluster based on a modularity calculated for Vote Amounts, do big accounts form communities that vote for each other?

In the Utopian open source context it would have been great to have the results in a way that they can be reproduced. Could you give more details on the exact query, the machine learning part, and how the fancy graphs were created?

In my next contribution where I will focus on comments, I will go into more detail about the tools and methodology used for this analysis.