Inferring profile elements from publicly available social network data

Piotr Kozikowski, Georg Groh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011
Pages876-881
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011 - Boston, MA, United States
Duration: 9 Oct 201111 Oct 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011

Conference

Conference2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011
Country/TerritoryUnited States
CityBoston, MA
Period9/10/1111/10/11

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