On Propagating Interpersonal Trust in Social Networks Export

@incollection{citeulike:6075243, abstract = {The age of information glut has fostered the proliferation of data and documents on the Web, created by man and machine alike. Hence, there is an enormous wealth of minable knowledge that is yet to be extracted, in particular, on the Semantic Web. However, besides understanding information 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.}, author = {Ziegler, Cai-Nicolas}, citeulike-article-id = {6075243}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-1-84800-356-9_6}, citeulike-linkout-1 = {http://www.springerlink.com/content/j36804kw7g23064k}, doi = {10.1007/978-1-84800-356-9_6}, journal = {Computing with Social Trust}, keywords = {activation, model, network, propagation, social, spreading, trust}, pages = {133--168}, posted-at = {2009-11-05 16:46:28}, priority = {2}, title = {On Propagating Interpersonal Trust in Social Networks}, url = {http://dx.doi.org/10.1007/978-1-84800-356-9_6}, year = {2009} }

TY - CHAP ID - citeulike:6075243 L3 - citeulike-article-id:6075243 N2 - The age of information glut has fostered the proliferation of data and documents on the Web, created by man and machine alike. Hence, there is an enormous wealth of minable knowledge that is yet to be extracted, in particular, on the Semantic Web. However, besides understanding information 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. JF - Computing with Social Trust EP - 168 TI - On Propagating Interpersonal Trust in Social Networks SP - 133 KW - activation KW - model KW - network KW - propagation KW - social KW - spreading KW - trust AU - Ziegler, Cai-Nicolas PY - 2009/// UR - http://dx.doi.org/10.1007/978-1-84800-356-9_6 ER -