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Volumn , Issue , 2010, Pages 393-394

FOAF: Improving detected social network accuracy

Author keywords

bluetooth; mobile social networking; social graph; socially aware applications; user proximity

Indexed keywords

HUMAN COMPUTER INTERACTION; SOCIAL NETWORKING (ONLINE);

EID: 78649982939     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1864431.1864453     Document Type: Conference Paper
Times cited : (2)

References (8)
  • 1
    • 79952057108 scopus 로고    scopus 로고
    • Estimating the Strength of Ties in Communication Networks with a Small Number of Users
    • September 2010 (to appear)
    • J. Banford, A. McDiarmid, and J. Irvine. Estimating the Strength of Ties in Communication Networks with a Small Number of Users. ICWMC 2010, September 2010 (to appear).
    • (2010) ICWMC
    • Banford, J.1    McDiarmid, A.2    Irvine, J.3
  • 3
    • 67249107496 scopus 로고    scopus 로고
    • Inferring Social Network Structure using Mobile Phone Data
    • N. Eagle, A. Pentland, and D. Lazer. Inferring Social Network Structure using Mobile Phone Data. PNAS, 2007.
    • (2007) PNAS
    • Eagle, N.1    Pentland, A.2    Lazer, D.3
  • 7
    • 51649205391 scopus 로고
    • Spread of information through a population with socio-structural bias I: Assumption of transitivity
    • A. Rapoport. Spread of information through a population with socio-structural bias I: Assumption of transitivity. Bulletin of Mathematical Bio-physics, 15(4):523-533, 1953.
    • (1953) Bulletin of Mathematical Bio-physics , vol.15 , Issue.4 , pp. 523-533
    • Rapoport, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.