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Volumn 316, Issue , 2015, Pages 308-328

A Divide-and-Link algorithm for hierarchical clustering in networks

Author keywords

Clustering; Hierarchical clustering; Network; Social network analysis

Indexed keywords

EVOLUTIONARY ALGORITHMS; GRAPH ALGORITHMS; HIERARCHICAL CLUSTERING; NETWORKS (CIRCUITS); SOCIAL NETWORKING (ONLINE);

EID: 84930074929     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2015.04.011     Document Type: Article
Times cited : (38)

References (45)
  • 4
    • 43049151837 scopus 로고    scopus 로고
    • Hierarchical structure and the prediction of missing links in networks
    • A. Clauset, C. Moore, and M.E.J. Newman Hierarchical structure and the prediction of missing links in networks Nature 453 2008 98 101
    • (2008) Nature , vol.453 , pp. 98-101
    • Clauset, A.1    Moore, C.2    Newman, M.E.J.3
  • 5
    • 41349117788 scopus 로고    scopus 로고
    • Finding community structure in very large networks
    • Aaron Clauset, M.E.J. Newman, and Cristopher Moore Finding community structure in very large networks Phys. Rev. E 70 2004 066111
    • (2004) Phys. Rev. e , vol.70 , pp. 066111
    • Clauset, A.1    Newman, M.E.J.2    Moore, C.3
  • 6
    • 33749462816 scopus 로고    scopus 로고
    • Improved spectral algorithm for the detection of network communities
    • L. Doneti, M.A. Muñoz, Improved spectral algorithm for the detection of network communities, in: Aip Conference Proceedings, vol. 779, 2005, pp. 104-107.
    • (2005) Aip Conference Proceedings , vol.779 , pp. 104-107
    • Doneti, L.1    Muñoz, M.A.2
  • 8
    • 40949124684 scopus 로고    scopus 로고
    • Communicability in complex networks
    • E. Estrada, and N. Hatano Communicability in complex networks Phys. Rev. E 77 2008 036111
    • (2008) Phys. Rev. e , vol.77 , pp. 036111
    • Estrada, E.1    Hatano, N.2
  • 9
    • 67649185257 scopus 로고    scopus 로고
    • Communicability graph and community structures in complex networks
    • E. Estrada, and N. Hatano Communicability graph and community structures in complex networks Appl. Math. Comput. 214 2009 500 511
    • (2009) Appl. Math. Comput. , vol.214 , pp. 500-511
    • Estrada, E.1    Hatano, N.2
  • 10
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • S. Fortunato Community detection in graphs Phys. Rep. 486 2010 75 174
    • (2010) Phys. Rep. , vol.486 , pp. 75-174
    • Fortunato, S.1
  • 11
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk computation of similarities between nodes of a graph, with application to collaborative recommendation
    • F. Fouss, and J.M. Renders Random-walk computation of similarities between nodes of a graph, with application to collaborative recommendation IEEE Trans. Knowl. Data Eng. 19 2007 35 369
    • (2007) IEEE Trans. Knowl. Data Eng. , vol.19 , pp. 35-369
    • Fouss, F.1    Renders, J.M.2
  • 12
    • 84875704045 scopus 로고    scopus 로고
    • Maximizing modularity intensity for community partition and evolution
    • P. Gang Suna, L. Gaoa, and Y. Yanga Maximizing modularity intensity for community partition and evolution Inf. Sci. 236 2013 83 92
    • (2013) Inf. Sci. , vol.236 , pp. 83-92
    • Gang Suna, P.1    Gaoa, L.2    Yanga, Y.3
  • 13
    • 0037062448 scopus 로고    scopus 로고
    • Community structure in social and biological networks
    • M. Girvan, and M.E.J. Newman Community structure in social and biological networks Proc. Nat. Acad. Sci. USA 99 12 2002 7821 7826
    • (2002) Proc. Nat. Acad. Sci. USA , vol.99 , Issue.12 , pp. 7821-7826
    • Girvan, M.1    Newman, M.E.J.2
  • 14
    • 84872105041 scopus 로고    scopus 로고
    • Modeling centrality measures in social network analysis using bi-criteria network flow optimization problems
    • D. Gomez, J. Figueira, and A. Eusebio Modeling centrality measures in social network analysis using bi-criteria network flow optimization problems Eur. J. Oper. Res. 226 2013 354 365
    • (2013) Eur. J. Oper. Res. , vol.226 , pp. 354-365
    • Gomez, D.1    Figueira, J.2    Eusebio, A.3
  • 15
    • 38949120055 scopus 로고    scopus 로고
    • Fuzzy sets in remote sensing classification
    • D. Gomez, and J. Montero Fuzzy sets in remote sensing classification Soft Comput. 12 2008 243 249
    • (2008) Soft Comput. , vol.12 , pp. 243-249
    • Gomez, D.1    Montero, J.2
  • 16
    • 37549065930 scopus 로고    scopus 로고
    • Accuracy statistics for judging soft classification
    • D. Gomez, J. Montero, and G. Biging Accuracy statistics for judging soft classification Int. J. Rem. Sens. 29 2008 693 709
    • (2008) Int. J. Rem. Sens. , vol.29 , pp. 693-709
    • Gomez, D.1    Montero, J.2    Biging, G.3
  • 17
    • 57149092108 scopus 로고    scopus 로고
    • Improvements to remote sensing using fuzzy classification, graphs and accuracy statistics
    • D. Gomez, J. Montero, and G. Biging Improvements to remote sensing using fuzzy classification, graphs and accuracy statistics Pure Appl. Geophys. 165 2008 1555 1575
    • (2008) Pure Appl. Geophys. , vol.165 , pp. 1555-1575
    • Gomez, D.1    Montero, J.2    Biging, G.3
  • 18
    • 33748764680 scopus 로고    scopus 로고
    • A coloring algorithm for image classification
    • D. Gomez, J. Montero, and J. Yáñez A coloring algorithm for image classification Inf. Sci. 176 2006 3645 3657
    • (2006) Inf. Sci. , vol.176 , pp. 3645-3657
    • Gomez, D.1    Montero, J.2    Yáñez, J.3
  • 19
    • 84857557124 scopus 로고    scopus 로고
    • A divide-link algorithm based on fuzzy similarity for clustering networks
    • D. Gómez, J. Montero, and J. Yáñez A divide-link algorithm based on fuzzy similarity for clustering networks Intell. Syst. Des. Appl. (ISDA) 2011 1247 1252
    • (2011) Intell. Syst. Des. Appl. (ISDA) , pp. 1247-1252
    • Gómez, D.1    Montero, J.2    Yáñez, J.3
  • 20
    • 33748273503 scopus 로고    scopus 로고
    • A graph coloring algorithm approach for image segmentation
    • D. Gomez, J. Montero, J. Yáñez, and C. Poidomani A graph coloring algorithm approach for image segmentation Omega 35 2007 173 183
    • (2007) Omega , vol.35 , pp. 173-183
    • Gomez, D.1    Montero, J.2    Yáñez, J.3    Poidomani, C.4
  • 21
    • 79952720875 scopus 로고    scopus 로고
    • Fuzzy overlapping communities in networks
    • S. Gregory Fuzzy overlapping communities in networks J. Stat. Mech.: Theory Exp. 2 2011 02017
    • (2011) J. Stat. Mech.: Theory Exp. , vol.2 , pp. 02017
    • Gregory, S.1
  • 22
    • 77949266060 scopus 로고    scopus 로고
    • Associating visual textures with human perceptions using genetic algorithms
    • W. Groissboeck, E. Lughofer, and S. Thumfart Associating visual textures with human perceptions using genetic algorithms Inf. Sci. 180 2010 2065 2084
    • (2010) Inf. Sci. , vol.180 , pp. 2065-2084
    • Groissboeck, W.1    Lughofer, E.2    Thumfart, S.3
  • 24
    • 77953535012 scopus 로고    scopus 로고
    • A new method for finding hierarchical subgroups from networks
    • M.-H. Hsieh, and C.L. Magee A new method for finding hierarchical subgroups from networks Soc. Networks 32 2010 234 244
    • (2010) Soc. Networks , vol.32 , pp. 234-244
    • Hsieh, M.-H.1    Magee, C.L.2
  • 25
    • 71849108522 scopus 로고    scopus 로고
    • Community detection algorithms: A comparative analysis
    • A. Lancichinetti, and S. Fortunato Community detection algorithms: a comparative analysis Phys. Rev. E 80 2009 056117
    • (2009) Phys. Rev. e , vol.80 , pp. 056117
    • Lancichinetti, A.1    Fortunato, S.2
  • 26
    • 84873312171 scopus 로고    scopus 로고
    • Revealing network communities with a nonlinear programming method
    • W. Li Revealing network communities with a nonlinear programming method Inf. Sci. 229 2013 18 28
    • (2013) Inf. Sci. , vol.229 , pp. 18-28
    • Li, W.1
  • 27
    • 0042311400 scopus 로고    scopus 로고
    • The bottlenose dolphin community of doubtful sound features a large proportion of long-lasting associations. Can geographic isolation explain this unique trait?
    • D. Lusseau, K. Schneider, O. Boisseau, P. Haase, E. Slooten, and S.M. Dawson The bottlenose dolphin community of doubtful sound features a large proportion of long-lasting associations. Can geographic isolation explain this unique trait? Behav. Ecol. Sociobiol. 54 2003 396 405
    • (2003) Behav. Ecol. Sociobiol. , vol.54 , pp. 396-405
    • Lusseau, D.1    Schneider, K.2    Boisseau, O.3    Haase, P.4    Slooten, E.5    Dawson, S.M.6
  • 28
    • 34548508874 scopus 로고    scopus 로고
    • On the relevance of some families of fuzzy sets
    • J. Montero, D. Gomez, and H. Bustince On the relevance of some families of fuzzy sets Fuzzy Sets Syst. 158 2007 2429 2442
    • (2007) Fuzzy Sets Syst. , vol.158 , pp. 2429-2442
    • Montero, J.1    Gomez, D.2    Bustince, H.3
  • 29
    • 78650681384 scopus 로고    scopus 로고
    • Upgrading ideas about the concept of soft computing
    • J. Montero, and L. Martinez Upgrading ideas about the concept of soft computing Int. J. Comput. Intell. Syst. 3 2010 144 147
    • (2010) Int. J. Comput. Intell. Syst. , vol.3 , pp. 144-147
    • Montero, J.1    Martinez, L.2
  • 30
    • 84255196314 scopus 로고    scopus 로고
    • Communities, modules and large-scale structure in networks
    • M.E.J. Newman Communities, modules and large-scale structure in networks Nat. Phys. 8 2012 25 31
    • (2012) Nat. Phys. , vol.8 , pp. 25-31
    • Newman, M.E.J.1
  • 31
    • 42749100809 scopus 로고    scopus 로고
    • Fast algorithm for detecting community structure in networks
    • M.E.J. Newman Fast algorithm for detecting community structure in networks Phys. Rev. E 69 2004 066133
    • (2004) Phys. Rev. e , vol.69 , pp. 066133
    • Newman, M.E.J.1
  • 32
    • 13944252976 scopus 로고    scopus 로고
    • A measure of betweenness centrality based on random walks
    • M.E.J. Newman A measure of betweenness centrality based on random walks Soc. Networks 27 1 2005 39 54
    • (2005) Soc. Networks , vol.27 , Issue.1 , pp. 39-54
    • Newman, M.E.J.1
  • 33
    • 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 Phys. Rev. E 69 2004 026113
    • (2004) Phys. Rev. e , vol.69 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 34
    • 33646530046 scopus 로고    scopus 로고
    • Computing communities in large networks using random walks
    • P. Pons, and M. Lapaty Computing communities in large networks using random walks Lect. Notes Comput. Sci. 3733 2005 284 293
    • (2005) Lect. Notes Comput. Sci. , vol.3733 , pp. 284-293
    • Pons, P.1    Lapaty, M.2
  • 36
    • 22944459214 scopus 로고    scopus 로고
    • The principal components analysis of a graph, and its relationships to spectral clustering
    • M. Saerens, F. Fouss, L. Yen, and P. Dupont The principal components analysis of a graph, and its relationships to spectral clustering Lect. Notes Comput. Sci. 3210 2004 371 383
    • (2004) Lect. Notes Comput. Sci. , vol.3210 , pp. 371-383
    • Saerens, M.1    Fouss, F.2    Yen, L.3    Dupont, P.4
  • 38
    • 34547240101 scopus 로고    scopus 로고
    • Multiple criteria redistricting problems: The public transportation network pricing system of the paris region
    • F. Tavares-Pereira, J.R. Figueira, V. Mousseau, and B. Roy Multiple criteria redistricting problems: the public transportation network pricing system of the paris region Ann. Oper. Res. 154 2007 69 92
    • (2007) Ann. Oper. Res. , vol.154 , pp. 69-92
    • Tavares-Pereira, F.1    Figueira, J.R.2    Mousseau, V.3    Roy, B.4
  • 40
  • 42
    • 1842738363 scopus 로고    scopus 로고
    • A method for finding communities of related genes
    • D.M. Wilkinson, and B.A. Huberman A method for finding communities of related genes Proc. Natl. Acad. Sci. USA 101 2004 5241 5248
    • (2004) Proc. Natl. Acad. Sci. USA , vol.101 , pp. 5241-5248
    • Wilkinson, D.M.1    Huberman, B.A.2
  • 45
    • 42449110882 scopus 로고
    • An information flow model for conflict and fission in small groups
    • W.W. Zachary An information flow model for conflict and fission in small groups J. Anthropol. Res. 33 1977 452 473
    • (1977) J. Anthropol. Res. , vol.33 , pp. 452-473
    • Zachary, W.W.1


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