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The human side of sharing in peer-to-peer networks
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ICLS '04 Proceedings of the 6th international conference on Learning sciences
Life is sharable: mechanisms to support and sustain blogging life experience
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Computers in Human Behavior
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CTS'05 Proceedings of the 2005 international conference on Collaborative technologies and systems
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SocInfo'11 Proceedings of the Third international conference on Social informatics
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AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
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Analyzing community knowledge sharing behavior
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Social visualization encouraging participation in online communities
CRIWG'06 Proceedings of the 12th international conference on Groupware: design, implementation, and use
Motivating participation in social computing applications: a user modeling perspective
User Modeling and User-Adapted Interaction
The effect and strategy research of the secure E-commerce by the application of P2P
Mathematical and Computer Modelling: An International Journal
Smart indicators on learning interactions
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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This paper addresses the problem of free riding on peer-to-peer resource-sharing networks and explores methods for motivating more cooperative user behaviour via an adaptive interface. The paper argues that the free-riding problem is not so much an economic issue as a socio-psychological one due to a paradigm shift the user community is undergoing. Users do not yet understand that they, and all of their peers, are both clients and servers and must therefore be taught new behaviour. Our method stimulates community awareness and highlights the cause and effect relationship between user behaviour and performance (QoS) consequences. Modeling the user's interests, attitude and relationships with other users enables the interface to adapt to the individual's co-' operativeness bias and give feedback on current community structure and activity. Feedback is delivered in the form of graphs, animations and informative text.