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A Differentiated Anonymity Algorithm for Social Network Privacy Preservation

Devising methods to publish social network data in a form that affords utility without compromising privacy remains a longstanding challenge, while many existing methods based on k-anonymity algorithms on social networks may result in nontrivial utility loss without analyzing the social network topo...

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Bibliografiske detaljer
Principais autores: Yuqin Xie, Mingchun Zheng
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2016-12-01
Serier:Algorithms
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Online adgang:http://www.mdpi.com/1999-4893/9/4/85
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