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Volumn 4508 LNCS, Issue , 2007, Pages 11-26

Significance-driven graph clustering

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; NETWORK MANAGEMENT; OPTIMIZATION;

EID: 38149006963     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72870-2_2     Document Type: Conference Paper
Times cited : (20)

References (22)
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    • Gaertler, M.1
  • 2
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    • Finding and evaluating community structure in networks
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  • 3
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    • A fast algorithm for detecting community structure in networks
    • Technical report, Department of Physics and Center for the Study of Complex Systems, University of Michigan
    • Newman, M.E.J.: A fast algorithm for detecting community structure in networks. Technical report, Department of Physics and Center for the Study of Complex Systems, University of Michigan (2003)
    • (2003)
    • Newman, M.E.J.1
  • 4
    • 38149083324 scopus 로고    scopus 로고
    • Fortunato, S., Barthelemy, M.: Resolution Limit in Community Detection. arXiv.org physics/0607100 (2006)
    • Fortunato, S., Barthelemy, M.: Resolution Limit in Community Detection. arXiv.org physics/0607100 (2006)
  • 5
    • 45849155039 scopus 로고    scopus 로고
    • Information-Theoretic Approach to Network Modularity
    • Ziv, E., Middendorf, M., Wiggins, C.: Information-Theoretic Approach to Network Modularity. Phys. Rev. E 71 (2005)
    • (2005) Phys. Rev. E , vol.71
    • Ziv, E.1    Middendorf, M.2    Wiggins, C.3
  • 6
    • 28844495055 scopus 로고    scopus 로고
    • Local Modularity Measure for Network Clusterizations
    • Muff, S., Rao, F., Caflisch, A.: Local Modularity Measure for Network Clusterizations. Phys. Rev. E 72 (2005)
    • (2005) Phys. Rev. E , vol.72
    • Muff, S.1    Rao, F.2    Caflisch, A.3
  • 8
    • 42749100809 scopus 로고    scopus 로고
    • Fast Algorithm for Detecting Community Structure in Networks
    • Newman, M.E.J.: Fast Algorithm for Detecting Community Structure in Networks. Physical Review E 69 (2004)
    • (2004) Physical Review E , vol.69
    • Newman, M.E.J.1
  • 9
    • 41349117788 scopus 로고    scopus 로고
    • Finding community structure in very large networks
    • Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Phys. Rev. E 70 (2004)
    • (2004) Phys. Rev. E , vol.70
    • Clauset, A.1    Newman, M.E.J.2    Moore, C.3
  • 11
    • 84880106426 scopus 로고    scopus 로고
    • A Spectral Clustering Approach to Finding Communities in Graph
    • White, S., Smyth, P.: A Spectral Clustering Approach to Finding Communities in Graph. In: SIAM Data Mining Conference. (2005)
    • (2005) SIAM Data Mining Conference
    • White, S.1    Smyth, P.2
  • 12
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    • Modularity from Fluctuations in Random Graphs and Complex Networks
    • Guimerà, R., Sales-Pardo, M., Amaral, L.A.N.: Modularity from Fluctuations in Random Graphs and Complex Networks. Physical Review E 70 (2004)
    • (2004) Physical Review E , vol.70
    • Guimerà, R.1    Sales-Pardo, M.2    Amaral, L.A.N.3
  • 14
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    • Community Detection in Complex Networks using Extremal Optimization
    • Duch, J., Arenas, A.: Community Detection in Complex Networks using Extremal Optimization. Physical Review E 72 (2005)
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  • 18
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    • Analysis of Weighted Networks
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    • Newman, M.: Analysis of Weighted Networks. Technical report, Cornell University, Santa Fe Institute, University of Michigan (2004)
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  • 19
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    • Finding community structure in very large networks
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    • Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Technical report, University of New Mexico, University of Michigan (2004)
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  • 20
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  • 21
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    • Experiments on Graph Clustering Algorithms
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    • Brandes, U., Gaertler, M., Wagner, D.: Experiments on Graph Clustering Algorithms. In: Proceedings of the 11th Annual European Symposium on Algorithms (ESA'03). Volume 2832 of Lecture Notes in Computer Science. (2003) 568-579
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