Abstract
'Trust' is used in a variety of ways in computing literature, and \_social\_
trust is emerging as an important computational problem. In open, distributed
systems, like the web, people and organizations can be anonymous and trust and
reputation become important. Researchers from many subfields of computer
science have produced results in this space, with applications such as
security, recommender systems, and knowledge management. However, this wide
interest also means that research is published in diverse venues, and thus
results published in one area can go unnoticed by researchers in a different
area. For scientists beginning to work in the area, discovering the relevant
literature and developing a comprehensive understanding of the state of the
art is difficult for similar reasons.
The goal of this book is to bring together a collection of important work in
computing social trust from computer science and related disciplines, and give
readers a full view of the subject. It will be divided into three major
sections. The first will address theory, behaviour, and trust management. This
will cover social analyses of how people develop trust, the dynamics of trust
relationships, and systems for trust management. The second section will
describe algorithms and methods for computing trust in social contexts. Social
networks, profile similarity, and participation in online communities are all
potential sources from which trust can be computed. The final section will
contain applications that use trust, such as recommender systems, website
access control, and email filtering.
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