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» Inferring Privacy Information from Social Networks
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67
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CSE
2009
IEEE
15 years 4 months ago
Inferring the Maximum Likelihood Hierarchy in Social Networks
—Individuals in social networks are often organized under some hierarchy such as a command structure. In many cases, when this structure is unknown, there is a need to discover h...
Arun S. Maiya, Tanya Y. Berger-Wolf
ISI
2010
Springer
14 years 8 months ago
Measuring behavioral trust in social networks
Abstract—Trust is an important yet complex and little understood dyadic relation among actors in a social network. There are many dimensions to trust; trust plays an important ro...
Sibel Adali, Robert Escriva, Mark K. Goldberg, Myk...
EDBT
2010
ACM
180views Database» more  EDBT 2010»
15 years 1 months ago
k-symmetry model for identity anonymization in social networks
With more and more social network data being released, protecting the sensitive information within social networks from leakage has become an important concern of publishers. Adve...
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zh...
70
Voted
CSE
2009
IEEE
15 years 4 months ago
Usable Privacy Controls for Blogs
—Web 2.0 applications, including blogs, wikis and social networking sites, pose challenging privacy issues. Many users are unaware that search engines index personal information ...
Michael Hart, Claude Castille, Rob Johnson, Amanda...
UM
2007
Springer
15 years 3 months ago
To Share or Not to Share: Supporting the User Decision in Mobile Social Software Applications
User’s privacy concerns represent one of the most serious obstacles to the wide adoption of mobile social software applications. In this paper, we introduce a conceptual model wh...
Giuseppe Lugano, Pertti Saariluoma