메뉴 건너뛰기




Volumn , Issue , 2007, Pages 175-178

Identifying subcommunities using cohesive subgroups in social hypertext

Author keywords

Cohesive subgroups; k plexes; N cliques; Social hypertext; Social networks; Subcommunities; Virtual community

Indexed keywords

SEARCH ENGINES; VIRTUAL REALITY; WEBSITES;

EID: 36949018152     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1286240.1286291     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 3
    • 15044345111 scopus 로고    scopus 로고
    • The experienced sense of a virtual community: Characteristics and processes
    • Blanchard, A. and Markus, M. The experienced sense of a virtual community: Characteristics and processes. The DATA BASE for Advances in Information Systems, Vol. 35, No. 1, 2004.
    • (2004) The DATA BASE for Advances in Information Systems , vol.35 , Issue.1
    • Blanchard, A.1    Markus, M.2
  • 4
    • 34247334111 scopus 로고    scopus 로고
    • Association for the Study and Development of Community
    • Chavis, D. Sense of Community Index. Association for the Study and Development of Community, http://www.capablecommunity.com/pubs/SCIndex.PDF.
    • Sense of Community Index
    • Chavis, D.1
  • 6
    • 36949011321 scopus 로고    scopus 로고
    • Analytic Technologies
    • Everett, M. Cohesive subgroups. Analytic Technologies, http://www.analytictech.com/networks/EverettSubgroups.doc
    • Cohesive subgroups
    • Everett, M.1
  • 8
    • 33749468596 scopus 로고    scopus 로고
    • Finding community structure in networks using the eigenvectors of matrices
    • Newman, M.E.J. Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 74:036104, 2006.
    • (2006) Physical Review E , vol.74 , pp. 036104
    • Newman, M.E.J.1
  • 9
    • 0242392600 scopus 로고    scopus 로고
    • How social network analysis can help to measure cohesion in collaborative distance learning
    • Kluwer Academic Publishers
    • Reffay, C. and Chanier, T. How social network analysis can help to measure cohesion in collaborative distance learning. In Proc. of Computer Supported Collaborative Learning, Kluwer Academic Publishers, 2003, 343-352.
    • (2003) Proc. of Computer Supported Collaborative Learning , pp. 343-352
    • Reffay, C.1    Chanier, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.