메뉴 건너뛰기




Volumn , Issue , 2009, Pages 169-177

Connections between the lines: Augmenting social networks with text

Author keywords

Graphical models; Social network learning; Statistical topic models

Indexed keywords

APPROXIMATE INFERENCE; GRAPHICAL MODELS; NETWORK DATA; REAL-WORLD; RELATIONSHIPS BETWEEN ENTITIES; SOCIAL NETWORK LEARNING; SOCIAL NETWORKS; STATISTICAL TOPIC MODELS; TEXT CORPORA; TOPIC MODEL; VARIATIONAL METHODS; WIKIPEDIA;

EID: 70350683540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557044     Document Type: Conference Paper
Times cited : (94)

References (35)
  • 4
    • 65449128550 scopus 로고    scopus 로고
    • Structured entity identification and document categorization: Two tasks with one joint model
    • I. Bhattacharya, S. Godbole, and S. Joshi. Structured entity identification and document categorization: Two tasks with one joint model. KDD 2008, 2008.
    • (2008) KDD 2008
    • Bhattacharya, I.1    Godbole, S.2    Joshi, S.3
  • 6
    • 76649126078 scopus 로고    scopus 로고
    • Mining hidden community in heterogeneous social networks
    • Aug
    • D. Cai, Z. Shao, X. He, X. Yan, and J. Han. Mining hidden community in heterogeneous social networks. LinkKDD 2005, Aug 2005.
    • (2005) LinkKDD 2005
    • Cai, D.1    Shao, Z.2    He, X.3    Yan, X.4    Han, J.5
  • 7
    • 70350666883 scopus 로고    scopus 로고
    • Extracting social networks and contact information from email and the web
    • A. Culotta, R. Bekkerman, and A. McCallum. Extracting social networks and contact information from email and the web. AAAI 2005, 2005.
    • (2005) AAAI 2005
    • Culotta, A.1    Bekkerman, R.2    McCallum, A.3
  • 8
    • 84860511224 scopus 로고    scopus 로고
    • D. Davidov, A. Rappoport, and M. Koppel. Fully unsupervised discovery of concept-specific relationships by web mining. In ACL, 2007.
    • D. Davidov, A. Rappoport, and M. Koppel. Fully unsupervised discovery of concept-specific relationships by web mining. In ACL, 2007.
  • 9
    • 77956211041 scopus 로고    scopus 로고
    • Relationship identification for social network discovery
    • July
    • C. Diehl, G. M. Namata, and L. Getoor. Relationship identification for social network discovery. In AAAI 2007, July 2007.
    • (2007) AAAI 2007
    • Diehl, C.1    Namata, G.M.2    Getoor, L.3
  • 10
    • 84950461478 scopus 로고
    • Estimating the error rate of a prediction rule: Improvement on cross-validation
    • B. Efron. Estimating the error rate of a prediction rule: Improvement on cross-validation. Journal of the American Statistical Association, 78(382), 1983.
    • (1983) Journal of the American Statistical Association , vol.78 , Issue.382
    • Efron, B.1
  • 12
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • T. Hofmann. Probabilistic latent semantic indexing. SIGIR 1999, 1999.
    • (1999) SIGIR 1999
    • Hofmann, T.1
  • 16
    • 52949106331 scopus 로고    scopus 로고
    • Statistical properties of community structure in large social and information networks
    • J. Leskovec, K. Lang, A. Dasgupta, and M. Mahoney. Statistical properties of community structure in large social and information networks. WWW 2008, 2008.
    • (2008) WWW 2008
    • Leskovec, J.1    Lang, K.2    Dasgupta, A.3    Mahoney, M.4
  • 20
    • 57349152312 scopus 로고    scopus 로고
    • Topic modeling with network regularization
    • Apr
    • Q. Mei, D. Cai, D. Zhang, and C. Zhai. Topic modeling with network regularization. WWW 2008, Apr 2008.
    • (2008) WWW 2008
    • Mei, Q.1    Cai, D.2    Zhang, D.3    Zhai, C.4
  • 21
    • 37049034642 scopus 로고    scopus 로고
    • Semantic annotation of frequent patterns
    • Q. Mei, D. Xin, H. Cheng, J. Han, and C. Zhai. Semantic annotation of frequent patterns. KDD 2007, 1(3), 2007.
    • (2007) KDD 2007 , vol.1 , Issue.3
    • Mei, Q.1    Xin, D.2    Cheng, H.3    Han, J.4    Zhai, C.5
  • 24
    • 33749547161 scopus 로고    scopus 로고
    • Statistical entity-topic models
    • New York, NY, USA, ACM
    • D. Newman, C. Chemudugunta, and P. Smyth. Statistical entity-topic models. In KDD 2006, pages 680-686, New York, NY, USA, 2006. ACM.
    • (2006) KDD 2006 , pp. 680-686
    • Newman, D.1    Chemudugunta, C.2    Smyth, P.3
  • 26
    • 1542280156 scopus 로고    scopus 로고
    • Genia corpus: An annotated research abstract corpus in molecular biology domain
    • San Diego, USA
    • T. Ohta, Y. Tateisi, and J.-D. Kim. Genia corpus: an annotated research abstract corpus in molecular biology domain. In HLT 2008, San Diego, USA, 2002.
    • (2002) HLT 2008
    • Ohta, T.1    Tateisi, Y.2    Kim, J.-D.3
  • 27
    • 84864049126 scopus 로고    scopus 로고
    • Inferring network structure from co-occurrences
    • M. Rabbat, M. Figueiredo, and R. Nowak. Inferring network structure from co-occurrences. NIPS 2006, 2006.
    • (2006) NIPS 2006
    • Rabbat, M.1    Figueiredo, M.2    Nowak, R.3
  • 28
    • 33745451385 scopus 로고    scopus 로고
    • The author-topic model for authors and documents
    • Arlington, Virginia, United States, AUAI Press
    • M. Rosen-Zvi, T. Grifiths, T. Grifiths, M. Steyvers, and P. Smyth. The author-topic model for authors and documents. In AUAI 2004, pages 487-494, Arlington, Virginia, United States, 2004. AUAI Press.
    • (2004) AUAI 2004 , pp. 487-494
    • Rosen-Zvi, M.1    Grifiths, T.2    Grifiths, T.3    Steyvers, M.4    Smyth, P.5
  • 31
    • 33947250174 scopus 로고    scopus 로고
    • Genetag: A tagged corpus for gene/protein named entity recognition
    • L. Tanabe, N. Xie, L. H. Thom, W. Matten, and W. J. Wilbur. Genetag: a tagged corpus for gene/protein named entity recognition. BMC Bioinformatics, 6 Suppl 1, 2005.
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • Tanabe, L.1    Xie, N.2    Thom, L.H.3    Matten, W.4    Wilbur, W.J.5
  • 34
    • 0030491229 scopus 로고    scopus 로고
    • S. Wasserman and P. Pattison. Logit models and logistic regressions for social networks: I. an introduction to markov graphs and p*. Psychometrika, 1996.
    • S. Wasserman and P. Pattison. Logit models and logistic regressions for social networks: I. an introduction to markov graphs and p*. Psychometrika, 1996.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.