메뉴 건너뛰기




Volumn 3, Issue , 2012, Pages 2249-2257

Scalable inference of overlapping communities

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNITY STRUCTURES; ORDERS OF MAGNITUDE; OVERLAPPING COMMUNITIES; REAL-WORLD NETWORKS; SCALABLE ALGORITHMS; STATE-OF-THE-ART ALGORITHMS; STOCHASTIC BLOCK MODELS; VARIATIONAL INFERENCE;

EID: 84877735139     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (77)

References (28)
  • 1
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • Santo Fortunato. Community detection in graphs. Physics Reports, 486(35):75-174, 2010.
    • (2010) Physics Reports , vol.486 , Issue.35 , pp. 75-174
    • Fortunato, S.1
  • 3
    • 80053018115 scopus 로고    scopus 로고
    • Efficient and principled method for detecting communities in networks
    • Brian Ball, Brian Karrer, and M. E. J. Newman. Efficient and principled method for detecting communities in networks. Physical Review E, 84(3):036103, 2011.
    • (2011) Physical Review e , vol.84 , Issue.3 , pp. 036103
    • Ball, B.1    Karrer, B.2    Newman, M.E.J.3
  • 4
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • M. E. J. Newman and M. Girvan. Finding and evaluating community structure in networks. Physical Review E, 69(2):026113, 2004.
    • (2004) Physical Review e , vol.69 , Issue.2 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 6
    • 75849140057 scopus 로고    scopus 로고
    • A nonparametric view of network models and Newman-Girvan and other modularities
    • Peter J. Bickel and Aiyou Chen. A nonparametric view of network models and Newman-Girvan and other modularities. Proceedings of the National Academy of Sciences, 106(50):21068-21073, 2009.
    • (2009) Proceedings of the National Academy of Sciences , vol.106 , Issue.50 , pp. 21068-21073
    • Bickel, P.J.1    Chen, A.2
  • 7
    • 18144393488 scopus 로고    scopus 로고
    • Clique percolation in random networks
    • Imre Dernyi, Gergely Palla, and Tams Vicsek. Clique percolation in random networks. Physical Review Letters, 94(16):160202, 2005.
    • (2005) Physical Review Letters , vol.94 , Issue.16 , pp. 160202
    • Dernyi, I.1    Palla, G.2    Vicsek, T.3
  • 8
    • 77955518815 scopus 로고    scopus 로고
    • Link communities reveal multiscale complexity in networks
    • Yong-Yeol Ahn, James P. Bagrow, and Sune Lehmann. Link communities reveal multiscale complexity in networks. Nature, 466(7307):761-764, 2010.
    • (2010) Nature , vol.466 , Issue.7307 , pp. 761-764
    • Ahn, Y.-Y.1    Bagrow, J.P.2    Lehmann, S.3
  • 11
    • 71149093889 scopus 로고    scopus 로고
    • Dynamic mixed membership blockmodel for evolving networks
    • W. Fu, L. Song, and E. Xing. Dynamic mixed membership blockmodel for evolving networks. In ICML, 2009.
    • (2009) ICML
    • Fu, W.1    Song, L.2    Xing, E.3
  • 15
    • 85162005069 scopus 로고    scopus 로고
    • Online learning for latent Dirichlet allocation
    • M. Hoffman, D. Blei, and F. Bach. Online learning for latent Dirichlet allocation. In NIPS, 2010.
    • (2010) NIPS
    • Hoffman, M.1    Blei, D.2    Bach, F.3
  • 16
    • 33749468596 scopus 로고    scopus 로고
    • Finding community structure in networks using the eigenvectors of matrices
    • M. E. J. Newman. Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 74(3):036104, 2006.
    • (2006) Physical Review e , vol.74 , Issue.3 , pp. 036104
    • Newman, M.E.J.1
  • 17
    • 38349126835 scopus 로고    scopus 로고
    • Fuzzy communities and the concept of bridgeness in complex networks
    • Tams Nepusz, Andrea Petrczi, Lszl Ngyessy, and Flp Bazs. Fuzzy communities and the concept of bridgeness in complex networks. Physical Review E, 77(1):016107, 2008.
    • (2008) Physical Review e , vol.77 , Issue.1 , pp. 016107
    • Nepusz, T.1    Petrczi, A.2    Ngyessy, L.3    Bazs, F.4
  • 18
    • 0033225865 scopus 로고    scopus 로고
    • Introduction to variational methods for graphical models
    • M. Jordan, Z. Ghahramani, T. Jaakkola, and L. Saul. Introduction to variational methods for graphical models. Machine Learning, 37:183-233, 1999.
    • (1999) Machine Learning , vol.37 , pp. 183-233
    • Jordan, M.1    Ghahramani, Z.2    Jaakkola, T.3    Saul, L.4
  • 19
    • 0000344740 scopus 로고
    • Differential geometry of curved exponential families-curvatures and information loss
    • S. Amari. Differential geometry of curved exponential families-curvatures and information loss. The Annals of Statistics, 1982.
    • (1982) The Annals of Statistics
    • Amari, S.1
  • 20
    • 84877774086 scopus 로고    scopus 로고
    • Infinite multiple membership relational modeling for complex networks
    • M. Morup, M.N. Schmidt, and L.K. Hansen. Infinite multiple membership relational modeling for complex networks. In IEEE MLSP, 2011.
    • (2011) IEEE MLSP
    • Morup, M.1    Schmidt, M.N.2    Hansen, L.K.3
  • 21
    • 80053165604 scopus 로고    scopus 로고
    • Modeling social networks with node attributes using the multiplicative attribute graph model
    • M. Kim and J. Leskovec. Modeling social networks with node attributes using the multiplicative attribute graph model. In UAI, 2011.
    • (2011) UAI
    • Kim, M.1    Leskovec, J.2
  • 23
    • 34248205060 scopus 로고    scopus 로고
    • Graph evolution: Densification and shrinking diameters
    • J. Leskovec, J. Kleinberg, and C. Faloutsos. Graph evolution: Densification and shrinking diameters. ACM TKDD, 2007.
    • (2007) ACM TKDD
    • Leskovec, J.1    Kleinberg, J.2    Faloutsos, C.3
  • 25
    • 43449091119 scopus 로고    scopus 로고
    • Introducing the Enron corpus
    • B. Klimmt and Y. Yang. Introducing the Enron corpus. In CEAS, 2004.
    • (2004) CEAS
    • Klimmt, B.1    Yang, Y.2
  • 27
    • 78650900196 scopus 로고    scopus 로고
    • Community structure in large networks: Natural cluster sizes and the absence of large well-defined cluster
    • J. Leskovec, K. J. Lang, A. Dasgupta, and M. W. Mahone. Community structure in large networks: Natural cluster sizes and the absence of large well-defined cluster. In Internet Mathematics, 2008.
    • (2008) Internet Mathematics
    • Leskovec, J.1    Lang, K.J.2    Dasgupta, A.3    Mahone, M.W.4
  • 28
    • 68949111730 scopus 로고    scopus 로고
    • Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities
    • Andrea Lancichinetti and Santo Fortunato. Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. Physical Review E, 80(1):016118, 2009.
    • (2009) Physical Review e , vol.80 , Issue.1 , pp. 016118
    • Lancichinetti, A.1    Fortunato, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.