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Volumn , Issue , 2010, Pages 21-26

Hyper-community detection in the blogosphere

Author keywords

Content based; Hyper community; Sentiment based; Social media

Indexed keywords

ADJACENCY MATRICES; BLOGOSPHERES; COMMUNITY DETECTION; COMMUNITY STRUCTURES; CONTENT-BASED; DATA SETS; GRAPH-BASED; HYPER-COMMUNITY; LEARNING COMMUNITY; NON-PARAMETRIC; ONLINE COMMUNITIES; OPEN ASPECTS; SENTIMENT-BASED; SOCIAL MEDIA; SOCIAL NETWORKS;

EID: 78650907930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1878151.1878159     Document Type: Conference Paper
Times cited : (17)

References (16)
  • 5
    • 77954823621 scopus 로고    scopus 로고
    • Measuring the happiness of large-scale written expression: Songs, blogs, and presidents
    • P.S. Dodds and C.M. Danforth. Measuring the happiness of large-scale written expression: songs, blogs, and presidents. Journal of Happiness Studies, pages 1-16, 2009.
    • (2009) Journal of Happiness Studies , pp. 1-16
    • Dodds, P.S.1    Danforth, C.M.2
  • 7
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • February
    • B.J. Frey and D. Dueck. Clustering by passing messages between data points. Science, 315:972-976, February 2007.
    • (2007) Science , vol.315 , pp. 972-976
    • Frey, B.J.1    Dueck, D.2
  • 10
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42(1):177-196, 2001.
    • (2001) Machine Learning , vol.42 , Issue.1 , pp. 177-196
    • Hofmann, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.