On 2012-07-19 5:52 AM, Tony Arcieri wrote:
In the scheme I'm proposing, there's no universal metric of trust or agreement as to what peers are trustworthy.
One universal metric of trust for all is necessarily authoritarian and inaccurate. N metrics of trust for N peers are apt to run into scaling law problems on very large networks.
Further, if one applies an algorithm that requires data for the entire network, there probably will not be data for the entire network. For large networks, need an algorithm where some small and manageable number of nodes are more important in evaluating trust than most other nodes, more central.
The structure of trust between Git repositories in large open source projects is both functional and scaleable.
Slope One is not strictly applicable to a large peer to peer network. It is applied, as at Amazon.com, to a star network. What one needs is an algorithm that becomes slope one in the extreme case that a single central node is the one node that matters, but which is tolerably efficient in the case that there are a moderate number of central nodes that are more important than the others.
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