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We generate a generalized social network in two steps.
In this section, we propose two graph partition algorithms, K- nearest neighbor ( KNN) method and Edge betweenness based (EBB) method, to generate a generalized social network G' for sharing purpose.
In this framework, O Q employs sub-graph generalization techniques to create a generalized social network, G Q ', from G Q without violating the privacy policy.
In section 4.2 and 4.3 we introduced how to divide a social network into sub-graphs, and then generalize these sub-graphs to nodes, then finally produce a generalized social network.
Integrate a generalized social network with the local social network, and then utilize shared generalized information to achieve better SNAM results.
We also discussed what kind of information will be shared along with the generalized social network.
Similar(42)
Secondly, we propose techniques to generalize a social network by sharing the probabilistic model of the generalized information.
Then, the state of the art in travel behavior research is reviewed using a taxonomy based on the generalized framework with research performed in sociology, social psychology, and social network analysis.
The diffusion of useful information in generalized networks, such as those consisting of wireless physical substrates and social network overlays is very important for theoretical and practical applications.
I argue that the social network technologies and models now being performed build out systems of generalized reciprocity, connectivity, and commons-based production.
According to [2], generalized networks, even when consisting of a physical (e.g., wireless multihop) and only one social network can significantly improve information spread.
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