Bayle Shanks wrote about a proposed distributed reputation document standard, which I found very interesting. But I think the way 'reputation type' is handled needs more thought. Specifically, I think it would be useful to be able to link not just to a person and a type of reputation, but to a specific action, role, judgement or opinion ( Read more... )

Here is a first-draft of a proposal for a distributed reputation document standard. Not a specific trust metric, but just a proposal that everyone chooses a standard document format for posting lists of ( Read more... )

I see that this has been linked only indirectly from here, so I thought people in this community would like to know about Trust Metrics Wiki.

TrustFlow for LiveJournal

Frequently asked questions

What do the results mean?
TrustFlow is making a guess at who is "near" your friends list; who might be on it, but isn't. It does this by looking at your friends list, and the friends list of your friends, and so on.

Is this based on who reads my journal, or interests, or what?
No. ( Read more... )

TrustFlow is a "trust metric" algorithm, which uses human-generated information about trustworthiness in a human-sized community of a few hundred people to generate guesses about trustworthiness in an Internet-sized community of millions of people; this is useful in applications like ranking search hits and preventing spam and vandalism. TrustFlow ( Read more... )

I love the idea of a trust metric enabled Wikipedia. There's plenty of questions to chew on ( Read more... )

Raph Levien wrote an interesting blog entry in December about trust metrics and Wikipedia.

Time for a trust metric enabled Wikipedia?

I see that Wikipedia is having some well-publicized troubles with vandalism and the like. This will be a somewhat bittersweet response.

The success of wikis has taken a lot of people by surprise, but I think I ( Read more... )

Around a year after the last version went live, I'm nearly ready to make a new version of TrustFlow available. This version is far faster (it uses iterative approximation eigenvector finding instead of the previous "token-passing" algorithm) and is written in Python; it also has a somewhat slicker user interface (a progress bar!). I'll make the ( Read more... )

If you scraped foaf pages, once per second, you could gather 86,400 people for day. Cache them locally. You could refresh the bulk of the active users every week. You could then do all kinds of manipulations locally, and never really be that far out of whack with LJ.

The LiveJournal TrustFlow system is down, and may be so for a while. It is a victim of its own popularity: it made so many requests on LiveJournal's servers for people's friends list data that it endangered the performance and stability of LiveJournal ( Read more... )