Abstract
Knowledge provenance is an approach to determining the validity and origin of Web information by means of modeling and maintaining information sources, information dependencies, and trust structures. This paper explores trust structures in social networks and constructs a trust judgment model for knowledge provenance. Trust judgment includes: trust assessment (to assess trust degree) and trust decision (to make decision of either trusting or distrusting). We reveal a general structure of trust decision, from which (i) the threshold of trust degree to make decision of trusting and (ii) a measure of importance of trust judgment situation are derived. Regarding trust assessment using social network, a major concern is how to aggregate friends' opinions. We propose two new methods: (1) to find most compatible solution to all opinions; (2) to request friends one by one until a set of consistent opinions is obtained. They are close to people's thinking patterns
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