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Volumn 5, Issue 2, 2014, Pages

Description-driven community detection

Author keywords

Behavioral and demographic information; Community detection; Description; Domain knowledge; Social networks; Social patterns

Indexed keywords

MINING; POPULATION STATISTICS; SOCIAL NETWORKING (ONLINE);

EID: 84899750161     PISSN: 21576904     EISSN: 21576912     Source Type: Journal    
DOI: 10.1145/2517088     Document Type: Article
Times cited : (86)

References (45)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • ACM
    • Rakesh Agrawal, T. Imielinksi, and A. Swami. 1993. Mining association rules between sets of items in large databases. In Proceedings of SIGMOD?93. ACM, 207-216
    • (1993) Proceedings of SIGMOD?93 , pp. 207-216
    • Agrawal, R.1    Imielinksi, T.2    Swami, A.3
  • 2
    • 77955518815 scopus 로고    scopus 로고
    • Link communities reveal multiscale complexity in networks
    • Yong-Yeol Ahn, James P. Bagrow, and Sune Lehmann. 2010. Link communities reveal multiscale complexity in networks. Nature 466, 7307, 761-764
    • (2010) Nature , vol.466 , Issue.7307 , pp. 761-764
    • Ahn, Y.-Y.1    Bagrow, J.P.2    Lehmann, S.3
  • 5
    • 80053018115 scopus 로고    scopus 로고
    • An efficient and principled method for detecting communities in networks
    • Brian Ball, Brian Karrer, and M. E. J. Newman. 2011. An efficient and principled method for detecting communities in networks. Phys. Rev. E 84
    • (2011) Phys. Rev. e , vol.84
    • Ball, B.1    Karrer, B.2    Newman, M.E.J.3
  • 6
    • 3142665421 scopus 로고    scopus 로고
    • Correlation clustering
    • Nikhil Bansal, Avrim Blum, and Shuchi Chawla. 2004. Correlation clustering. Machine Learn. 56, 1-3, 89-113
    • (2004) Machine Learn , vol.56 , Issue.1-3 , pp. 89-113
    • Bansal, N.1    Blum, A.2    Chawla, S.3
  • 13
    • 77958063998 scopus 로고    scopus 로고
    • A game-Theoretic framework to identify overlapping communities in social networks
    • Wei Chen, Zhenming Liu, Xiaorui Sun, and Yajun Wang. 2010. A game-Theoretic framework to identify overlapping communities in social networks. Data Min. Knowl. Discov. 21, 2, 224-240
    • (2010) Data Min. Knowl. Discov , vol.21 , Issue.2 , pp. 224-240
    • Chen, W.1    Liu, Z.2    Sun, X.3    Wang, Y.4
  • 14
    • 0002034653 scopus 로고    scopus 로고
    • Efficient mining of emerging patterns: Discovering trends and differences
    • G. Dong and J. Li. 1999. Efficient mining of emerging patterns: Discovering trends and differences. In Proceedings of the SIGKDD?99. 43-52
    • (1999) Proceedings of the SIGKDD?99 , pp. 43-52
    • Dong, G.1    Li, J.2
  • 15
    • 68949093647 scopus 로고    scopus 로고
    • Line graphs, link partitions, and overlapping communities
    • T. S. Evans and R. Lambiotte. 2009. Line graphs, link partitions, and overlapping communities. Phys. Rev. E 80
    • (2009) Phys. Rev. e , vol.80
    • Evans, T.S.1    Lambiotte, R.2
  • 16
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • Santo Fortunato. 2010. Community detection in graphs. Phys. Rep. 486
    • (2010) Phys. Rep , pp. 486
    • Fortunato, S.1
  • 17
    • 0037062448 scopus 로고    scopus 로고
    • Community structure in social and biological networks
    • M. Girvan and M. Newman. 2002. Community structure in social and biological networks. Proc. Nat. Acad. Sci. 99, 12, 7821-7826
    • (2002) Proc. Nat. Acad. Sci , vol.99 , Issue.12 , pp. 7821-7826
    • Girvan, M.1    Newman, M.2
  • 18
    • 77958577702 scopus 로고    scopus 로고
    • Finding overlapping communities in networks by label propagation
    • Steve Gregory. 2010. Finding overlapping communities in networks by label propagation. New J. Physics 12, 10
    • (2010) New J. Physics , vol.12 , pp. 10
    • Gregory, S.1
  • 20
    • 80051655148 scopus 로고    scopus 로고
    • The map equation for link communities
    • Youngdo Kim and Hawoong Jeong. 2011. The map equation for link communities. Phys. Rev. E 84
    • (2011) Phys. Rev. e , vol.84
    • Kim, Y.1    Jeong, H.2
  • 22
    • 64549145094 scopus 로고    scopus 로고
    • Detecting the overlapping and hierarchical community structure of complex networks
    • Andrea Lancichinetti, Santo Fortunato, and Janos Kertesz. 2009. Detecting the overlapping and hierarchical community structure of complex networks. New J. Physics 11
    • (2009) New J. Physics , vol.11
    • Lancichinetti, A.1    Fortunato, S.2    Kertesz, J.3
  • 23
    • 79955707583 scopus 로고    scopus 로고
    • Finding statistically significant communities in networks
    • Andrea Lancichinetti, Filippo Radicchi, J. J. Ramasco, and Santo Fortunato. 2011. Finding statistically significant communities in networks. PLoS ONE 6, 4, e18961
    • (2011) PLoS ONE , vol.6 , Issue.4
    • Lancichinetti, A.1    Radicchi, F.2    Ramasco, J.J.3    Fortunato, S.4
  • 28
    • 42749100809 scopus 로고    scopus 로고
    • Fast algorithm for detecting community structure in networks
    • M. Newman. 2004. Fast algorithm for detecting community structure in networks. Phys. Rev. E 69
    • (2004) Phys. Rev. e , vol.69
    • Newman, M.1
  • 29
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • M. Newman and M. Girvan. 2004. Finding and evaluating community structure in networks. Phys. Rev. E 69
    • (2004) Phys. Rev. e , vol.69
    • Newman, M.1    Girvan, M.2
  • 31
    • 20444504323 scopus 로고    scopus 로고
    • Uncovering the overlapping community structure of complex networks in nature and society
    • G. Palla, I. Derenyi, I. Farkas, and T. Vicsek. 2005. Uncovering the overlapping community structure of complex networks in nature and society. Nature
    • (2005) Nature
    • Palla, G.1    Derenyi, I.2    Farkas, I.3    Vicsek, T.4
  • 34
    • 34548856552 scopus 로고    scopus 로고
    • Near linear time algorithm to detect community structures in large-scale networks
    • Usha Nandini Raghavan, Réka Albert, and Soundar Kumara. 2007. Near linear time algorithm to detect community structures in large-scale networks. Phys. Rev. E 76
    • (2007) Phys. Rev. e , vol.76
    • Raghavan, U.N.1    Albert, R.2    Kumara, S.3
  • 35
    • 4544382534 scopus 로고    scopus 로고
    • Cluster graph modification problems
    • Ron Shamir, Roded Sharan, and Dekel Tsur. 2004. Cluster graph modification problems. Discrete Appl. Math. 144, 1-2, 173-182
    • (2004) Discrete Appl. Math , vol.144 , Issue.1-2 , pp. 173-182
    • Shamir, R.1    Sharan, R.2    Tsur, D.3
  • 38
    • 77958037753 scopus 로고    scopus 로고
    • Maximal exceptions with minimal descriptions
    • M. van Leeuwen. 2010. Maximal exceptions with minimal descriptions. Data Min. Knowl. Discov. 21, 2, 259-276
    • (2010) Data Min. Knowl. Discov , vol.21 , Issue.2 , pp. 259-276
    • Van Leeuwen, M.1
  • 41
    • 84874287099 scopus 로고    scopus 로고
    • Overlapping community detection in networks: The state of the art and comparative study
    • J. Xie, S. Kelley, and B. Szymanski. 2013. Overlapping community detection in networks: The state of the art and comparative study. ACM Comput. Surv. 45, 4
    • (2013) ACM Comput. Surv , vol.45 , pp. 4
    • Xie, J.1    Kelley, S.2    Szymanski, B.3
  • 43
    • 84863116361 scopus 로고    scopus 로고
    • SLPA: Uncovering overlapping communities in social networks via a speaker-listener interaction dynamic process
    • Jierui Xie, Boleslaw K. Szymanski, and Xiaoming Liu. 2011. SLPA: Uncovering overlapping communities in social networks via a speaker-listener interaction dynamic process. In Proceedings of the ICDM Workshops. 344-349
    • (2011) Proceedings of the ICDM Workshops , pp. 344-349
    • Xie, J.1    Szymanski, B.K.2    Liu, X.3
  • 44
    • 77955045035 scopus 로고    scopus 로고
    • Graph clustering based on structural/attribute similarities
    • Yang Zhou, Hong Cheng, and Jeffrey Xu Yu. 2009. Graph clustering based on structural/attribute similarities. Proc. Very Large Datab. 2, 1, 718-729
    • (2009) Proc. Very Large Datab , vol.2 , Issue.1 , pp. 718-729
    • Zhou, Y.1    Cheng, H.2    Xu Yu, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.