Ebook: Computing with Social Trust

As open, distributed systems like the Web continue to grow, and more and more content created by users becomes available, the question of whom and what can be trusted becomes increasingly important. This book looks at one solution – social trust relationships – and examines the challenging research problems raised by computing with social trust.

In bringing together important research in computing social trust from both computer science and related disciplines, this book provides an invaluable overview of the area. Divided into three parts, the first – Models of Social Trust – addresses theory, behaviour and trust management, analysing how trust is developed, the dynamics of trust relationships, and systems for trust management. Part Two – Propagation of Trust – describes algorithms and methods for computing trust in social contexts. Social networks, profile similarity, and participation in online communities are all sources from which trust can be computed. The final part – Applications of Trust – contains applications such as recommender systems, website access control, and email filtering, where trust can improve functionality.

With contributions from leading researchers in the area of social trust, this book will be welcomed by researchers and graduate students in computer science and information systems, as well as those working in related disciplines where trust may be an issue (such as communications and psychology).

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As open, distributed systems like the Web continue to grow, and more and more content created by users becomes available, the question of whom and what can be trusted becomes increasingly important. This book looks at one solution – social trust relationships – and examines the challenging research problems raised by computing with social trust.

In bringing together important research in computing social trust from both computer science and related disciplines, this book provides an invaluable overview of the area. Divided into three parts, the first – Models of Social Trust – addresses theory, behaviour and trust management, analysing how trust is developed, the dynamics of trust relationships, and systems for trust management. Part Two – Propagation of Trust – describes algorithms and methods for computing trust in social contexts. Social networks, profile similarity, and participation in online communities are all sources from which trust can be computed. The final part – Applications of Trust – contains applications such as recommender systems, website access control, and email filtering, where trust can improve functionality.

With contributions from leading researchers in the area of social trust, this book will be welcomed by researchers and graduate students in computer science and information systems, as well as those working in related disciplines where trust may be an issue (such as communications and psychology).

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As open, distributed systems like the Web continue to grow, and more and more content created by users becomes available, the question of whom and what can be trusted becomes increasingly important. This book looks at one solution – social trust relationships – and examines the challenging research problems raised by computing with social trust.

In bringing together important research in computing social trust from both computer science and related disciplines, this book provides an invaluable overview of the area. Divided into three parts, the first – Models of Social Trust – addresses theory, behaviour and trust management, analysing how trust is developed, the dynamics of trust relationships, and systems for trust management. Part Two – Propagation of Trust – describes algorithms and methods for computing trust in social contexts. Social networks, profile similarity, and participation in online communities are all sources from which trust can be computed. The final part – Applications of Trust – contains applications such as recommender systems, website access control, and email filtering, where trust can improve functionality.

With contributions from leading researchers in the area of social trust, this book will be welcomed by researchers and graduate students in computer science and information systems, as well as those working in related disciplines where trust may be an issue (such as communications and psychology).

Content:
Front Matter....Pages I-X
Front Matter....Pages 7-7
Examining Trust, Forgiveness and Regret as Computational Concepts....Pages 9-43
A Non-reductionist Approach to Trust....Pages 45-72
Social Trust of Virtual Identities....Pages 73-118
Front Matter....Pages 119-119
Attack-Resistant Trust Metrics....Pages 121-132
On Propagating Interpersonal Trust in Social Networks....Pages 133-168
The Ripple Effect: Change in Trust and Its Impact Over a Social Network....Pages 169-181
Front Matter....Pages 183-183
Eliciting Informative Feedback: The Peer-Prediction Method....Pages 185-212
Capturing Trust in Social Web Applications....Pages 213-257
Trust Metrics in Recommender Systems....Pages 259-285
Trust and Online Reputation Systems....Pages 287-311
Internet-Based Community Networks: Finding the Social in Social Networks....Pages 313-331
Front Matter....Pages 1-1
Introduction to Computing with Social Trust....Pages 1-5
Back Matter....Pages 333-335

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As open, distributed systems like the Web continue to grow, and more and more content created by users becomes available, the question of whom and what can be trusted becomes increasingly important. This book looks at one solution – social trust relationships – and examines the challenging research problems raised by computing with social trust.

In bringing together important research in computing social trust from both computer science and related disciplines, this book provides an invaluable overview of the area. Divided into three parts, the first – Models of Social Trust – addresses theory, behaviour and trust management, analysing how trust is developed, the dynamics of trust relationships, and systems for trust management. Part Two – Propagation of Trust – describes algorithms and methods for computing trust in social contexts. Social networks, profile similarity, and participation in online communities are all sources from which trust can be computed. The final part – Applications of Trust – contains applications such as recommender systems, website access control, and email filtering, where trust can improve functionality.

With contributions from leading researchers in the area of social trust, this book will be welcomed by researchers and graduate students in computer science and information systems, as well as those working in related disciplines where trust may be an issue (such as communications and psychology).

Content:
Front Matter....Pages I-X
Front Matter....Pages 7-7
Examining Trust, Forgiveness and Regret as Computational Concepts....Pages 9-43
A Non-reductionist Approach to Trust....Pages 45-72
Social Trust of Virtual Identities....Pages 73-118
Front Matter....Pages 119-119
Attack-Resistant Trust Metrics....Pages 121-132
On Propagating Interpersonal Trust in Social Networks....Pages 133-168
The Ripple Effect: Change in Trust and Its Impact Over a Social Network....Pages 169-181
Front Matter....Pages 183-183
Eliciting Informative Feedback: The Peer-Prediction Method....Pages 185-212
Capturing Trust in Social Web Applications....Pages 213-257
Trust Metrics in Recommender Systems....Pages 259-285
Trust and Online Reputation Systems....Pages 287-311
Internet-Based Community Networks: Finding the Social in Social Networks....Pages 313-331
Front Matter....Pages 1-1
Introduction to Computing with Social Trust....Pages 1-5
Back Matter....Pages 333-335
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