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- W2387761330 abstract "Through carrying on social networks analysis,the models hiding in correlations can be disclosed between individuals.It can violate the individual privacy to publish the society networks directly.The society networks publication need to carry on the privacy protection.We present to describe the social networks using bipartite graph.The members and participations in social networks are formed into two categories of vertex sets.The method divides the bipartite graph into different groups,constructs isomorphism subgraph in the group and achieves bipartite graph automorphism publication.The BKM algorithm is designed and carried on the confirmation on synthetic data set.Experimental results show that the algorithm can obtain acceptable quality during security publication." @default.
- W2387761330 created "2016-06-24" @default.
- W2387761330 creator A5032418340 @default.
- W2387761330 date "2011-01-01" @default.
- W2387761330 modified "2023-10-16" @default.
- W2387761330 title "Anonymizing Publication of Social Networks Using Bipartite Graph" @default.
- W2387761330 hasPublicationYear "2011" @default.
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