Trust and Reputation Model in Peer-to-Peer Networks
P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
Content-based recommendation systems
The adaptive web
GoDisco: selective gossip based dissemination of information in social community based overlays
ICDCN'11 Proceedings of the 12th international conference on Distributed computing and networking
Analyzing user modeling on twitter for personalized news recommendations
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
The Filter Bubble: What the Internet Is Hiding from You
The Filter Bubble: What the Internet Is Hiding from You
Selective propagation of social data in decentralized online social network
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Recommending services in a trust-based decentralized user modeling system
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
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This paper presents a novel peer-to-peer architecture for decentralized Online Social Network and a mechanism that allows each node to filter out irrelevant social data, while ensuring a level of serendipity, by letting important information pass, even if it does not fall in the areas of interest of the user. The evaluation of the approach, using an Erlang simulation with 2318 nodes shows that it works as it was designed to: with the increasing number of social data passing through the network, the nodes learn to filter out irrelevant data, while serendipitous important data is able to pass through the network. Future work will implement the mechanism in a decentralized OSN and evaluate it in a real community of users, in an enterprise context.