Title
Propagation Models for Trust and Distrust in Social Networks
Abstract
Semantic Web endeavors have mainly focused on issues pertaining to knowledge representation and ontology design. However, besides understanding information metadata stated by subjects, knowing about their credibility becomes equally crucial. Hence, trust and trust metrics, conceived as computational means to evaluate trust relationships between individuals, come into play. Our major contribution to Semantic Web trust management through this work is twofold. First, we introduce a classification scheme for trust metrics along various axes and discuss advantages and drawbacks of existing approaches for Semantic Web scenarios. Hereby, we devise an advocacy for local group trust metrics, guiding us to the second part which presents Appleseed, our novel proposal for local group trust computation. Compelling in its simplicity, Appleseed borrows many ideas from spreading activation models in psychology and relates their concepts to trust evaluation in an intuitive fashion. Moreover, we provide extensions for the Appleseed nucleus that make our trust metric handle distrust statements.
Year
DOI
Venue
2005
10.1007/s10796-005-4807-3
Information Systems Frontiers
Keywords
Field
DocType
trust,semantic web,trust propagation,spreading activation models,balance theory,web of trust
Ontology,Knowledge representation and reasoning,Trust anchor,Computer science,Trust metric,Knowledge management,Semantic Web,Computational trust,Distrust,Web of trust
Journal
Volume
Issue
ISSN
7
4-5
1387-3326
Citations 
PageRank 
References 
153
7.36
23
Authors
2
Search Limit
100153
Name
Order
Citations
PageRank
Cai-Nicolas Ziegler1150783.74
Georg Lausen23687526.29