TY - GEN
T1 - Inferring profile elements from publicly available social network data
AU - Kozikowski, Piotr
AU - Groh, Georg
PY - 2011
Y1 - 2011
N2 - We investigate methods for inferring attribute values from publicly available profile from social networking platforms. These methods are not intended to attack the privacy of specific users but are intended to be usable on large datasets that can be used for large scale data-mining. We discuss attribute specific methods and put a special focus on methods using the friend-network of a user, either by weighting or selecting relations according to sub-network density.
AB - We investigate methods for inferring attribute values from publicly available profile from social networking platforms. These methods are not intended to attack the privacy of specific users but are intended to be usable on large datasets that can be used for large scale data-mining. We discuss attribute specific methods and put a special focus on methods using the friend-network of a user, either by weighting or selecting relations according to sub-network density.
UR - http://www.scopus.com/inward/record.url?scp=84856173804&partnerID=8YFLogxK
U2 - 10.1109/PASSAT/SocialCom.2011.38
DO - 10.1109/PASSAT/SocialCom.2011.38
M3 - Conference contribution
AN - SCOPUS:84856173804
SN - 9780769545783
T3 - Proceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011
SP - 876
EP - 881
BT - Proceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011
T2 - 2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011
Y2 - 9 October 2011 through 11 October 2011
ER -