About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
The Fourth International Workshop on Trusted Collaboration

Research Article

Towards automatic recommendation of friend lists

Download1025 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/ICST.COLLABORATECOM2009.8397,
        author={Kelli Bacon and Prasun Dewan},
        title={Towards automatic recommendation of friend lists},
        proceedings={The Fourth International Workshop on Trusted Collaboration},
        publisher={IEEE},
        proceedings_a={TRUSTCOL},
        year={2009},
        month={12},
        keywords={Social network clique recommender system friend list Facebook access control mixed-initiative social mining},
        doi={10.4108/ICST.COLLABORATECOM2009.8397}
    }
    
  • Kelli Bacon
    Prasun Dewan
    Year: 2009
    Towards automatic recommendation of friend lists
    TRUSTCOL
    ICST
    DOI: 10.4108/ICST.COLLABORATECOM2009.8397
Kelli Bacon1, Prasun Dewan1
  • 1: Computer Science, University of North Carolina, Chapel Hill, USA

Abstract

Facebook access-control lists, called friend lists, are difficult to create manually. Previous work on automating these lists has used friend details entered by the user. Our approach automates them by merging virtual friend cliques using certain heuristics that determine if two virtual friend cliques correspond to a single actual friend clique. A small user study found that our lists were more likely to be used by participants than existing automated lists.

Keywords
Social network clique recommender system friend list Facebook access control mixed-initiative social mining
Published
2009-12-28
Publisher
IEEE
http://dx.doi.org/10.4108/ICST.COLLABORATECOM2009.8397
Copyright © 2009–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL