Latent topics in graph-structured data

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 2663-2666

  Böhm, Christoph ^a   Kasneci, Gjergji ^a   Naumann, Felix ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

Author keywords

conceptual patterns; latent topics; subgraph mining

Indexed keywords

CONCEPTUAL PATTERNS; DATA SETS; LATENT TOPICS; LIFE-SCIENCES; META INFORMATION; REAL-WORLD DATASETS; SUBGRAPH MINING; SUBGRAPHS; TEXTUAL LABELS; UNDERLYING GRAPHS; WEB COMMUNITY;

COMPUTER APPLICATIONS;

KNOWLEDGE MANAGEMENT;

EID: 84871078030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398718     Document Type: Conference Paper

References (5)

1. S. Fortunato. Community detection in graphs. Physical Review, 486:75-174, 2010.
2. J. Leskovec, K. J. Lang, and M. Mahoney. Empirical comparison of algorithms for network community detection. In Proc. WWW, 2010.
3. R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, and U. Alon. Network motifs: simple building blocks of complex networks. Science, 298:824-827, 2002.
4. G. Palla, I. Derenyi, I. Farkas, and T. Vicsek. Uncovering the overlapping community structure of complex networks in nature and society. Nature, 435:814-818, 2005.
5. W. Wu, B. Reinwald, Y. Sismanis, and R. Manjrekar. Discovering topical structures of databases. In Proc. SIGMOD, 2008.