Matthew Toseland wrote: > - Locations of nodes are strongly clustered around 0.0.
Could this be due to some kind of bias in the collected data? For example if the network is less of a small world than expected, is it possible that you're only sampling swap requests within one area of the network? Or a more paranoid explanation: if I regularly reset my location to (Math.random() * 0.02 - 0.01), swapping would spread these locations around the network and the nodes would end up clustered around 0.0. How hard would it be to carry out this attack? Every node that joins the network creates a properly-distributed location, and every node that leaves the network destroys either a properly-distributed or a badly-distributed location. Depending on the churn rate, a single node resetting its location every few hours might be enough. Is there any way to prevent this? Oskar's suggestion of occasionally switching to a random location would mitigate the problem, but not prevent it entirely. Cheers, Michael
