How much do your friends know about you?: reconstructing private information from the friendship graph

Authors:
Norbert Blenn;Christian Doerr;Nasireddin Shadravan;Piet Van Mieghem
Affiliations:
Delft University of Technology, GA Delft, The Netherlands;Delft University of Technology, GA Delft, The Netherlands;Delft University of Technology, GA Delft, The Netherlands;Delft University of Technology, GA Delft, The Netherlands
Venue:
Proceedings of the Fifth Workshop on Social Network Systems
Year:
2012

Citing 10
Cited 1

Performance Analysis of Communications Networks and Systems

Performance Analysis of Communications Networks and Systems
Information revelation and privacy in online social networks

Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Characterizing privacy in online social networks

Proceedings of the first workshop on Online social networks
To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles

Proceedings of the 18th international conference on World wide web
All your contacts are belong to us: automated identity theft attacks on social networks

Proceedings of the 18th international conference on World wide web
Eight friends are enough: social graph approximation via public listings

Proceedings of the Second ACM EuroSys Workshop on Social Network Systems
On the leakage of personally identifiable information via online social networks

ACM SIGCOMM Computer Communication Review
You are who you know: inferring user profiles in online social networks

Proceedings of the third ACM international conference on Web search and data mining
Are friends overrated?: a study for the social aggregator digg.com

NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
Inferring privacy information from social networks

ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics

Fusing Text and Frienships for Location Inference in Online Social Networks

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01

Quantified Score

Hi-index	0.00

Visualization

Abstract

After the early land rush and fast exponential growth of online social networking platforms, concerns about how data placed in online social networks may be exploited and abused have begun to appear among mainstream users. Social networking sites have responded to these new public sentiments by introducing privacy filters to their site, allowing users to specify which aspects of their profile are visible to whom. In this paper, we demonstrate that such an approach to privacy and informational self-determination is largely futile: as we form social relations and build networks with those alike us, much of who we are and what we do can be reconstructed from unhidden parts of the social graph.