Feasibility of structural network clustering for group-based privacy control in social networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)
139 Downloads (Pure)

Abstract

Users of social networking sites often want to manage the sharing of information and content with different groups of people based on their differing relationships. However, grouping contacts places a significant configuration burden on the user. Automated approaches to grouping may have the potential to reduce this burden, however, their use remains largely untested. We investigate people's rationales when grouping their contacts for the purpose of controlling their privacy, finding six criteria that they commonly considered. We assess an automated approach to grouping, based on a network clustering algorithm, whose performance may be analogous to the human's use of some of these criteria. We find that the similarity between the groups created by people and those created by the algorithm is correlated with the modularity of their network. We also demonstrate that the particular clustering algorithm, SCAN, which detects hubs and outliers within a network can be beneficial for identifying contacts who are hard to group or for whom privacy preferences are inconsistent with the rest of their group.
Original languageEnglish
Title of host publicationSOUPS '10 Proceedings of the Sixth Symposium on Usable Privacy and Security
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Number of pages13
ISBN (Print)9781450302647
DOIs
Publication statusPublished - 2010
Event6th Symposium on Usable Privacy and Security, SOUPS 2010, July 14, 2010 - July 16, 2010 - Redmond, WA, USA United States
Duration: 1 Jan 2010 → …

Publication series

NameACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery

Conference

Conference6th Symposium on Usable Privacy and Security, SOUPS 2010, July 14, 2010 - July 16, 2010
CountryUSA United States
CityRedmond, WA
Period1/01/10 → …

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  • Cite this

    Jones, S., & O'Neill, E. (2010). Feasibility of structural network clustering for group-based privacy control in social networks. In SOUPS '10 Proceedings of the Sixth Symposium on Usable Privacy and Security [Article 9] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/1837110.1837122