I modified my python post-processing routine to count the coin flow and the number of transactions in each of my chosen large time steps (5000 seconds) working from the very first transaction after the show point. Doing this I felt a bit like an astronomer analysing the ancient light from just after the big bang (ridiculous thought). Its pretty cool that this data is frozen forever for us to examine.
Here's some graphs I made by exporting csv and plotting in excel...
Here's the first graph - number of transactions per step. You can see the rate ramp up from near zero in the first step up to hunderds of transactions per step. Note, the x axis is time step number. The steps are 5000 seconds - around an hour and a half (daft choice - I should have used hours shouldn't I :?)
If we look at the value transfer rate (above graph) we see a different story. As time goes on, the actual values transferred fall sharply over time. That's because the transations themselves are getting smaller as the coins get more and more split up. Note the log scale!
So by dividing the volume by the transaction rate we get the mean size - this falls form the initial HUGE transaction steeply down. Note, I'm not considering dilution as I'm not quite sure how to handle it. probably mean size would continue to fall over time if I looked at the amount of coin that really originated from the original pot as some of the later transactions might be getting quite dilute.
Here is the interesting bit though. I looked again at the first graph and saw what seems to be an outlier... The big spike near the start. So I replotted the very early parts - here's what I got...
There's a huge spike of transactions on around timestep 28. A leap up to nearly 900 transactions and then it drops back again. Clearly something happened here. What I'm thinking is that someone ran a script to disperse the coins widely. This probably makes the trail really hard to follow if you do it manually. Fortunately we have computers so its easy!
Now what I'm wondering if this spike corresponds to the strange whirlpool structure on my Gephi coin trace... I think that whole structure may have been formed very quickly by running a script. I'm now trying to imagine what the script code to do that would have looked like and exactly why it was done in the way it was. Next step is to add a time line to the Gephi trace and step through it. That'll let me see when that structure appears on the graph view. I will keep you posted :)





















