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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Hlavní autoři:	Yuqin Xie, Mingchun Zheng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2016-12-01
Edice:	Algorithms
Témata:	social network privacy data utility anonymity differentiated
On-line přístup:	http://www.mdpi.com/1999-4893/9/4/85
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