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Volumn , Issue , 2010, Pages 1565-1568

Community-based topic modeling for social tagging

Author keywords

Community detection; Social tagging system; Topic mining; TTR LDA community

Indexed keywords

COMMUNITY DETECTION; COMMUNITY DETECTION ALGORITHMS; COMMUNITY IS; COMMUNITY MODEL; COMPLEX NETWORKS; INFERENCE MECHANISM; LATENT DIRICHLET ALLOCATION; SOCIAL TAGGING; TIME-PERIODS; TOPIC MINING; TTR-LDA-COMMUNITY;

EID: 78651324362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871673     Document Type: Conference Paper
Times cited : (49)

References (12)
  • 2
    • 41349117788 scopus 로고    scopus 로고
    • Finding community structure in very large network
    • Clauset, A., Newman, M. E. J., & Moore, C. (2004). Finding community structure in very large network. Physical Review E, 70, 066111
    • (2004) Physical Review E , vol.70 , pp. 066111
    • Clauset, A.1    Newman, M.E.J.2    Moore, C.3
  • 7
    • 0002687371 scopus 로고
    • The small world problem
    • Milgram, S. (1967). The small world problem, Psychology Today, 2, 60-67
    • (1967) Psychology Today , vol.2 , pp. 60-67
    • Milgram, S.1
  • 8
    • 0038718854 scopus 로고    scopus 로고
    • The structure and function of complex networks
    • Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review 45, 167-256.
    • (2003) SIAM Review , vol.45 , pp. 167-256
    • Newman, M.E.J.1
  • 12
    • 67049097966 scopus 로고    scopus 로고
    • A topic modeling approach and its integration into the random walk framework for academic search
    • Washington, DC: IEEE Computer Society
    • Tang, J., Jin, R., & Zhang, J. (2008). A Topic Modeling Approach and its Integration into the Random Walk Framework for Academic Search. In Proceedings of 2008 IEEE International Conference on Data Mining (ICDM'2008) (pp. 1055-1060). Washington, DC: IEEE Computer Society.
    • (2008) Proceedings of 2008 IEEE International Conference on Data Mining (ICDM'2008) , pp. 1055-1060
    • Tang, J.1    Jin, R.2    Zhang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.