The widespread adoption of online social networking to upload and share user-generated personal content rises novel issues related to the management of content ownership and privacy. To retain content ownership, we have previously designed and implemented an original solution for social-driven content sharing in home-to-home federated and spontaneous networks. This paper relevantly enhances our solution by proposing novel mechanisms to tune the visibility of shared resources based on the dynamic evaluation of social relationship tightness, inferred through social data gathered from widespread online social networks. On the one hand, the proposal autonomously evaluates the tightness of social relationships based on the primary guideline that the more users interact the tighter their relationships are. Moreover, it determines a default decision tree suitable for many application scenarios and enables its dynamic personalization based on user's feedback. On the other hand, it defines and supports a grammar to define visibility filters: runtime visibility of shared resources is automatically tuned based on both relationship tightness and defined filters. The presented prototype demonstrates how to effectively design/implement the proposal and the feasibility of our approach in terms of performance.

Social-aware Differentiated Visibility of Home-to-Home Shared Resources in Spontaneous Networks

GIANNELLI, Carlo;
2013

Abstract

The widespread adoption of online social networking to upload and share user-generated personal content rises novel issues related to the management of content ownership and privacy. To retain content ownership, we have previously designed and implemented an original solution for social-driven content sharing in home-to-home federated and spontaneous networks. This paper relevantly enhances our solution by proposing novel mechanisms to tune the visibility of shared resources based on the dynamic evaluation of social relationship tightness, inferred through social data gathered from widespread online social networks. On the one hand, the proposal autonomously evaluates the tightness of social relationships based on the primary guideline that the more users interact the tighter their relationships are. Moreover, it determines a default decision tree suitable for many application scenarios and enables its dynamic personalization based on user's feedback. On the other hand, it defines and supports a grammar to define visibility filters: runtime visibility of shared resources is automatically tuned based on both relationship tightness and defined filters. The presented prototype demonstrates how to effectively design/implement the proposal and the feasibility of our approach in terms of performance.
MIDDLEWARE; FACEBOOK; TWITTER; FILTERING; PEER-TO-PEER
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11392/2361636
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