Interesting links

From TrustLet, a free, collaborative project for collecting and analyzing information about trust metrics.

TODO: categorize this information or remove what is not relevant!

Here we put everything that it's still not categorized but looks interesting.

Extending the Blogosphere, a proposal for the extension of the Blogosphere, the network of Weblogs. | Individual Blogs are connected by their users implicitly: a community emerges, because users regularly read and comment on others' entries. By making this connexions explicit, a web of trust is created which functions like a reputation mechanism.

KnoBot - An agent for decentralised knowledge exchange, WYMIWYG KnoBot combines semantic web technology with a P2P design to build a trust based decentralised system for information selection and discovery.

The resulting system leverages the advantages of social networks for the distribution of news. It can be implemented as a decentralised system, with a simple extension to the Blogosphere.

very interesting! Designing Reliable Trust Management Systems in Online Marketplaces http://ccs.mit.edu/dell/trustmgt.pdf http://ccs.mit.edu/roma/reputation.html
links to many interesting papers http://jmvidal.cse.sc.edu/masreadinggroup.html
http://www.p2p-simulator.org/
http://one-of-us.org/docs/abstract.html
http://p2pjournal.com/issues/November03.pdf
http://www.identitycommons.net/
http://www.livejournal.com/users/trustmetrics/ LiveJournal diary about trust metrics (TrustFlow is already under analysis)
Comment about this wiki on slashdot http://slashdot.org/comments.pl?sid=73977&cid=6723202
http://databases.si.umich.edu/reputations/bib/bib.html
http://www.p2ptrust.org/
imatch project http://www.swiss.ai.mit.edu/projects/icampus/projects/imatch.html http://www.lcs.mit.edu/research/abstracts2003/pdf/253.pdf

iMatch: a Decentralized Multi-Agents Application. iMatch is a research project studying resource discovery in highly decentralized systems. Since knowledge about each user is guarded by a local agent, revelation of user's profile or data is granted by owners in one of two ways: 1. local information can be set to one of three security levels:

public (available to all other agents)
friends (available to specified friend agents)
private (available only for local agent)

2. other agents can be classified in three categories

acquaintances (given "friends" access)
known-agents (referred agents from friends)
unknown agents (never heard of agents)

Certain central agents act as bootstrap agents to help new user agents start building a trust network of acquaintances. Trust for other agents is inferred based on a reputation framework based on Mui, et al, (2001). Once trust is established, matching user request to appropriate resources is performed based on a preference-based framework based on the Ceteris Paribus representation (c.f., Doyle, et al., 1994 and McGeachie, 2001).

FAQ of SULTAN (Simple Universal Logic-oriented Trust Analysis Notation) http://www.doc.ic.ac.uk/~tgrand/faq.htm [the formalism is probably too complicated and not usable]
A Review on Trust in Information Technology http://alfebiite.ee.ic.ac.uk/docs/papers/D1/ab-d1-cas+ped-trust.pdf (more psychological but very interesting)
A number of analyses of and tools related to the PGP Web of Trust, including pgpstat, keyanalyze, PathServer and Pathfinder, are referenced at http://bcn.boulder.co.us/~neal/pgpstat/