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Volumn , Issue , 2011, Pages 2349-2352

Probabilistic model for discovering topic based communities in social networks

Author keywords

community detection; probabilistic methods; social networks

Indexed keywords

BAYESIAN MODEL; COMMUNITY DETECTION; INTERACTION PATTERN; LINK RELATIONSHIPS; ON-LINE NETWORK; PROBABILISTIC METHODS; PROBABILISTIC MODELS; REAL WORLD DATA; RESEARCH TOPICS; SOCIAL GRAPHS; SOCIAL NETWORKS; USER INTERESTS;

EID: 83055161482     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063963     Document Type: Conference Paper
Times cited : (15)

References (9)
  • 1
    • 77951168602 scopus 로고    scopus 로고
    • Relational topic models for document networks
    • J. Chang and D. Blei. Relational topic models for document networks. In AIStats, 2009.
    • (2009) AIStats
    • Chang, J.1    Blei, D.2
  • 3
    • 83055186440 scopus 로고    scopus 로고
    • Fuzzy modularity and fuzzy community structure in networks
    • 10.1140/epjb/e2010-00290-3
    • J. Liu. Fuzzy modularity and fuzzy community structure in networks. The European Physical Journal B - Condensed Matter and Complex Systems, 77:547-557, 2010. 10.1140/epjb/e2010-00290-3.
    • (2010) The European Physical Journal B - Condensed Matter and Complex Systems , vol.77 , pp. 547-557
    • Liu, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.