메뉴 건너뛰기




Volumn 24, Issue 3, 2012, Pages 515-554

Community detection in social media performance and application considerations

Author keywords

Community detection; Large scale networks; Social Media

Indexed keywords

COMPLEX NETWORKS; DATA MINING; SURVEYS;

EID: 84861734734     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-011-0224-z     Document Type: Article
Times cited : (534)

References (116)
  • 3
    • 33645156787 scopus 로고    scopus 로고
    • Synchronization reveals topological scales in complex networks
    • Arenas A, Díaz-Guilera A, Pérez-Vicente CJ (2006) Synchronization reveals topological scales in complex networks. Phys Rev Lett 96(11):114102
    • (2006) Phys Rev Lett , vol.96 , Issue.11 , pp. 114102
    • Arenas, A.1    Díaz-Guilera, A.2    Pérez-Vicente, C.J.3
  • 4
    • 34547333419 scopus 로고    scopus 로고
    • Size reduction of complex networks preserving modularity
    • Arenas A, Duch J, Fernaández A, Gómez S (2007) Size reduction of complex networks preserving modularity. New J Phys 9:176
    • (2007) New J Phys , vol.9 , pp. 176
    • Arenas, A.1    Duch, J.2    Fernaández, A.3    Gómez, S.4
  • 8
    • 44949088447 scopus 로고    scopus 로고
    • Evaluating local community methods in networks
    • Bagrow JP (2008) Evaluating local community methods in networks. J Stat Mech 5:P05001
    • (2008) J Stat Mech , vol.5
    • Bagrow, J.P.1
  • 9
    • 37049032887 scopus 로고    scopus 로고
    • Modularity and community detection in bipartite networks
    • Barber MJ (2007) Modularity and community detection in bipartite networks. Phys Rev E 76:066102
    • (2007) Phys Rev e , vol.76 , pp. 066102
    • Barber, M.J.1
  • 13
    • 44949290699 scopus 로고
    • LS sets, lambda sets, and other cohesive subsets
    • Borgatti S, Everett M, Shirey P (1990) LS sets, lambda sets, and other cohesive subsets. Soc Netw 12:337-358
    • (1990) Soc Netw , vol.12 , pp. 337-358
    • Borgatti, S.1    Everett, M.2    Shirey, P.3
  • 14
    • 49549145171 scopus 로고
    • An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling
    • Breiger R, Boorman S, Arabie P (1975) An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling. J Mathl Psychol 12:328-383
    • (1975) J Mathl Psychol , vol.12 , pp. 328-383
    • Breiger, R.1    Boorman, S.2    Arabie, P.3
  • 15
    • 84976668743 scopus 로고
    • Algorithm 457: Finding all cliques of an undirected graph
    • Bron C, Kerbosch J (1973) Algorithm 457: finding all cliques of an undirected graph. Commun ACM 16(9):575-577
    • (1973) Commun ACM , vol.16 , Issue.9 , pp. 575-577
    • Bron, C.1    Kerbosch, J.2
  • 16
    • 70449398981 scopus 로고    scopus 로고
    • Semantic grounding of tag relatedness in social bookmarking systems
    • Karlsruhe, Germany
    • Cattuto C, Benz D, Hotho A, Stumme G (2008a) Semantic grounding of tag relatedness in social bookmarking systems. In: Proceedings of ISWC 2008, Karlsruhe, Germany
    • (2008) Proceedings of ISWC 2008
    • Cattuto, C.1    Benz, D.2    Hotho, A.3    Stumme, G.4
  • 18
    • 34548571606 scopus 로고    scopus 로고
    • Autopart: Parameter-free graph partitioning and outlier detection
    • Springer
    • Chakrabarti D (2004) Autopart: parameter-free graph partitioning and outlier detection. Lecture notes in computer science 3202. Springer, pp 112-124
    • (2004) Lecture Notes in Computer Science , vol.3202 , pp. 112-124
    • Chakrabarti, D.1
  • 22
    • 63049131553 scopus 로고    scopus 로고
    • Iolap: A framework for analyzing the internet, social networks, and other networked dat
    • Chi Y, Zhu S, Hino K, Gong Y, Zhang Y (2009) iOLAP: a framework for analyzing the internet, social networks, and other networked data. Trans Multimed 11(3):372-382
    • (2009) Trans Multimed , vol.11 , Issue.3 , pp. 372-382
    • Chi, Y.1    Zhu, S.2    Hino, K.3    Gong, Y.4    Zhang, Y.5
  • 23
    • 27244456660 scopus 로고    scopus 로고
    • Finding local community structure in networks
    • Clauset A (2005) Finding local community structure in networks. Phys Rev E 72 026132
    • (2005) Phys Rev e , vol.72 , pp. 026132
    • Clauset, A.1
  • 24
    • 41349117788 scopus 로고    scopus 로고
    • Finding community structure in very large networks
    • Clauset A, Newman MEJ, Moore C (2004) Finding community structure in very large networks. Phys Rev E 70:066111
    • (2004) Phys Rev e , vol.70 , pp. 066111
    • Clauset, A.1    Newman, M.E.J.2    Moore, C.3
  • 25
    • 26244464025 scopus 로고    scopus 로고
    • Comparing community structure identification
    • Danon L, Diaz-Guilera A, Duch J, Arenas A (2005) Comparing community structure identification. J Stat Mech P09008. http://iopscience.iop.org/1742- 5468/2005/09/P09008/
    • (2005) J Stat Mech
    • Danon, L.1    Diaz-Guilera, A.2    Duch, J.3    Arenas, A.4
  • 26
    • 85030321143 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • Dean J, Ghemawat S (2004) Mapreduce: simplified data processing on large clusters. In: Proceedings of OSDI, 04, pp 137-150
    • (2004) Proceedings of OSDI , vol.4 , pp. 137-150
    • Dean, J.1    Ghemawat, S.2
  • 27
    • 34548748711 scopus 로고    scopus 로고
    • Weighted graph cuts without eigenvectors: A multilevel approach
    • Dhillon IS, Guan Y, Kulis B (2007) Weighted graph cuts without eigenvectors: a multilevel approach. IEEE Trans Pattern Anal Mach Intell 29(11):1944-1957
    • (2007) IEEE Trans Pattern Anal Mach Intell , vol.29 , Issue.11 , pp. 1944-1957
    • Dhillon, I.S.1    Guan, Y.2    Kulis, B.3
  • 28
    • 49049115562 scopus 로고    scopus 로고
    • A scalable multilevel algorithm for graph clustering and community structure detection
    • Springer-Verlag, Berlin
    • Djidjev HN (2008) A scalable multilevel algorithm for graph clustering and community structure detection. Lecture notes in computer science, vol 4936. Springer-Verlag, Berlin, pp 117-128
    • (2008) Lecture Notes in Computer Science , vol.4936 , pp. 117-128
    • Djidjev, H.N.1
  • 29
    • 84900631115 scopus 로고    scopus 로고
    • Detecting network communities: A new systematic and efficient algorithm
    • doi:10.1088/1742-5468/2004/10/P10012
    • Donetti L, Munoz MA (2004) Detecting network communities: a new systematic and efficient algorithm. J Stat Mech P10012. doi:10.1088/1742-5468/ 2004/10/P10012
    • (2004) J Stat Mech
    • Donetti, L.1    Munoz, M.A.2
  • 30
    • 27244441304 scopus 로고    scopus 로고
    • Community detection in complex networks using extremal optimization
    • Duch J, Arenas A (2005) Community detection in complex networks using extremal optimization. Phys Rev E 72:027104
    • (2005) Phys Rev e , vol.72 , pp. 027104
    • Duch, J.1    Arenas, A.2
  • 35
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • Fortunato S (2010) Community detection in graphs. Phys Rep 486:75-174
    • (2010) Phys Rep , vol.486 , pp. 75-174
    • Fortunato, S.1
  • 37
    • 41349119161 scopus 로고    scopus 로고
    • Method to find community structures based on information centrality
    • Fortunato S, Latora V, Marchiori M (2004) Method to find community structures based on information centrality. Phys Rev E 70:056104
    • (2004) Phys Rev e , vol.70 , pp. 056104
    • Fortunato, S.1    Latora, V.2    Marchiori, M.3
  • 38
    • 67651020781 scopus 로고    scopus 로고
    • An update algorithm for restricted random walk clustering for dynamic data sets
    • Franke M, Geyer-Schulz A (2009) An update algorithm for restricted random walk clustering for dynamic data sets. Adv Data Anal Classif 3(1):63-92
    • (2009) Adv Data Anal Classif , vol.3 , Issue.1 , pp. 63-92
    • Franke, M.1    Geyer-Schulz, A.2
  • 39
    • 0024610615 scopus 로고
    • A fast parametric maximum flow algorithm and applications
    • Gallo G, Grigoriadis MD, Tarjan RE (1989) A fast parametric maximum flow algorithm and applications. SIAM J Comput 18(1):30-55
    • (1989) SIAM J Comput , vol.18 , Issue.1 , pp. 30-55
    • Gallo, G.1    Grigoriadis, M.D.2    Tarjan, R.E.3
  • 41
    • 33745630997 scopus 로고    scopus 로고
    • Discovering large dense subgraphs in massive graphs
    • Trondheim, Norway, Aug 30-Sept 2, 2005. Very Large Data Bases. VLDB Endowment
    • Gibson D, Kumar R, Tomkins A (2005) Discovering large dense subgraphs in massive graphs. In: Proceedings of the 31st international conference on very large data bases, Trondheim, Norway, Aug 30-Sept 2, 2005. Very Large Data Bases. VLDB Endowment, pp 721-732
    • (2005) Proceedings of the 31st International Conference on Very Large Data Bases , pp. 721-732
    • Gibson, D.1    Kumar, R.2    Tomkins, A.3
  • 42
    • 0037062448 scopus 로고    scopus 로고
    • Community structure in social and biological networks
    • Girvan M, Newman MEJ (2002) Community structure in social and biological networks. Proc Natl Acad Sci USA 99(12):7821-7826
    • (2002) Proc Natl Acad Sci USA , vol.99 , Issue.12 , pp. 7821-7826
    • Girvan, M.1    Newman, M.E.J.2
  • 45
    • 33748773043 scopus 로고    scopus 로고
    • Community detection as an inference problem
    • Hastings MB (2006) Community detection as an inference problem. Phys Rev E 74:035102
    • (2006) Phys Rev e , vol.74 , pp. 035102
    • Hastings, M.B.1
  • 51
    • 4243128193 scopus 로고    scopus 로고
    • On clusterings: Good, bad and spectral
    • Kannan R, Vempala S, Vetta A (2004) On clusterings: good, bad and spectral. J ACM 51(3):497-515
    • (2004) J ACM , vol.51 , Issue.3 , pp. 497-515
    • Kannan, R.1    Vempala, S.2    Vetta, A.3
  • 52
    • 0032131147 scopus 로고    scopus 로고
    • A fast and high quality multilevel scheme for partitioning irregular graphs
    • Karypis G, Kumar V (1998) A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J Sci Comput 20(1):359-392
    • (1998) SIAM J Sci Comput , vol.20 , Issue.1 , pp. 359-392
    • Karypis, G.1    Kumar, V.2
  • 53
    • 79851513672 scopus 로고    scopus 로고
    • A particle-and-density based evolutionary clustering method for dynamic networks
    • Kim M, Han J (2009) A particle-and-density based evolutionary clustering method for dynamic networks. Proc VLDB Endow 2(1):622-633
    • (2009) Proc VLDB Endow , vol.2 , Issue.1 , pp. 622-633
    • Kim, M.1    Han, J.2
  • 54
    • 77958564958 scopus 로고    scopus 로고
    • Community landscapes: An integrative approach to determine overlapping network module hierarchy, identify key nodes and predict network dynamics
    • Kovács IA, Palotai R, Szalay MS, Csermely P (2010) Community landscapes: an integrative approach to determine overlapping network module hierarchy, identify key nodes and predict network dynamics. PLoS ONE 5(9):e12528
    • (2010) PLoS ONE , vol.5 , Issue.9
    • Kovács, I.A.1    Palotai, R.2    Szalay, M.S.3    Csermely, P.4
  • 55
    • 0033297068 scopus 로고    scopus 로고
    • Trawling the Web for emerging cyber-communities
    • Kumar R, Raghavan P, Rajagopalan S, Tomkins A (1999) Trawling the Web for emerging cyber-communities. Comput Netw 31(11-16):1481-1493
    • (1999) Comput Netw , vol.31 , Issue.11-16 , pp. 1481-1493
    • Kumar, R.1    Raghavan, P.2    Rajagopalan, S.3    Tomkins, A.4
  • 57
    • 71849108522 scopus 로고    scopus 로고
    • Community detection algorithms: A comparative analysis
    • Lancichinetti A, Fortunato S (2009) Community detection algorithms: a comparative analysis. Phys Rev E 80:056117
    • (2009) Phys Rev e , vol.80 , pp. 056117
    • Lancichinetti, A.1    Fortunato, S.2
  • 58
    • 55849088356 scopus 로고    scopus 로고
    • Benchmark graphs for testing community detection algorithms
    • Lancichinetti A, Fortunato S, Radicchi F (2008) Benchmark graphs for testing community detection algorithms. Phys Rev E 78:046110
    • (2008) Phys Rev e , vol.78 , pp. 046110
    • Lancichinetti, A.1    Fortunato, S.2    Radicchi, F.3
  • 61
    • 67649881239 scopus 로고    scopus 로고
    • Towards real-time community detection in large networks
    • Leung IXY, Hui P, Lio P, Crowcroft J (2009) Towards real-time community detection in large networks. Phys Rev E 79:066107
    • (2009) Phys Rev e , vol.79 , pp. 066107
    • Ixy, L.1    Hui, P.2    Lio, P.3    Crowcroft, J.4
  • 62
    • 56749152232 scopus 로고    scopus 로고
    • Modeling and recognition of landmark image collections using iconic scene graphs
    • Springer-Verlag, Berlin
    • Li X,Wu C, Zach C, Lazebnik S, Frahm J (2008) Modeling and recognition of landmark image collections using iconic scene graphs. Lecture notes in computer science, vol 5302. Springer-Verlag, Berlin, pp 427-440
    • (2008) Lecture Notes in Computer Science , vol.5302 , pp. 427-440
    • Li Xwu, C.1    Zach, C.2    Lazebnik, S.3    Frahm, J.4
  • 64
    • 57349153901 scopus 로고    scopus 로고
    • Facetnet: A framework for analyzing communities and their evolutions in dynamic networks
    • Beijing, China, 21-25 April 2008. WWW ?08, ACM, New York
    • Lin Y, Chi Y, Zhu S, Sundaram H, Tseng BL (2008) Facetnet: a framework for analyzing communities and their evolutions in dynamic networks. In: Proceeding of the 17th international conference on World Wide Web, Beijing, China, 21-25 April 2008. WWW ?08. ACM, New York, pp 685-694
    • (2008) Proceeding of the 17th International Conference on World Wide Web , pp. 685-694
    • Lin, Y.1    Chi, Y.2    Zhu, S.3    Sundaram, H.4    Tseng, B.L.5
  • 66
    • 0001964443 scopus 로고
    • Structural equivalence of individuals in social networks
    • Lorrain F, White H (1971) Structural equivalence of individuals in social networks. J Math Sociol 1:49-80
    • (1971) J Math Sociol , vol.1 , pp. 49-80
    • Lorrain, F.1    White, H.2
  • 67
    • 42549102609 scopus 로고    scopus 로고
    • Exploring local community structures in large networks
    • IEEE Computer Society
    • Luo F,Wang JZ, Promislow E (2006) Exploring local community structures in large networks. In: Proceedings of web intelligence 2006. IEEE Computer Society, pp 233-239
    • (2006) Proceedings of Web Intelligence , vol.2006 , pp. 233-239
    • Luo Fwang, J.Z.1    Promislow, E.2
  • 69
    • 37649033033 scopus 로고    scopus 로고
    • Identifying ?communities? Within energy landscapes
    • Massen CP, Doye JPK (2005) Identifying ?communities? within energy landscapes. Phys Rev E 71:046101.
    • (2005) Phys Rev e , vol.71 , pp. 046101
    • Massen, C.P.1    Doye, J.P.K.2
  • 70
    • 33646389513 scopus 로고    scopus 로고
    • Ontologies are us: A unified model of social networks and semantics
    • Springer, Berlin
    • Mika P (2005) Ontologies are us: a unified model of social networks and semantics. In: Proceedings of ISWC 2005. Springer, Berlin, pp 522-536
    • (2005) Proceedings of ISWC , vol.2005 , pp. 522-536
    • Mika, P.1
  • 71
    • 57649097515 scopus 로고    scopus 로고
    • Image clustering based on a shared nearest neighbors approach for tagged collections
    • Niagara Falls, Canada, 7-9 July, ACM, New York
    • Moëllic P, Haugeard J, Pitel G (2008) Image clustering based on a shared nearest neighbors approach for tagged collections. In: Proceedings of CIVR ?08, Niagara Falls, Canada, 7-9 July. ACM, New York, pp 269-278
    • (2008) Proceedings of CIVR ?08 , pp. 269-278
    • Moëllic, P.1    Haugeard, J.2    Pitel, G.3
  • 72
    • 42749100809 scopus 로고    scopus 로고
    • Fast algorithm for detecting community structure in networks
    • NewmanMEJ (2004a) Fast algorithm for detecting community structure in networks. PhysRevE69:066133
    • (2004) PhysRevE , vol.69 , pp. 066133
    • Newman, M.E.J.1
  • 73
    • 41349096036 scopus 로고    scopus 로고
    • Analysis of weighted networks
    • Newman MEJ (2004b) Analysis of weighted networks. Phys Rev E 70:056131
    • (2004) Phys Rev e , vol.70 , pp. 056131
    • Newman, M.E.J.1
  • 74
    • 33749468596 scopus 로고    scopus 로고
    • Finding community structure in networks using the eigenvectors of matrices
    • Newman MEJ (2006) Finding community structure in networks using the eigenvectors of matrices. Phys Rev E 74:036104
    • (2006) Phys Rev e , vol.74 , pp. 036104
    • Newman, M.E.J.1
  • 75
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • Newman MEJ, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69:026113
    • (2004) Phys Rev e , vol.69 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 76
    • 20444504323 scopus 로고    scopus 로고
    • Uncovering the overlapping community structure of complex networks in nature and society
    • Palla G, Derenyi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435(7043):814-818
    • (2005) Nature , vol.435 , Issue.7043 , pp. 814-818
    • Palla, G.1    Derenyi, I.2    Farkas, I.3    Vicsek, T.4
  • 77
    • 34247223815 scopus 로고    scopus 로고
    • Quantifying social group evolution
    • Palla G, Barabasi A-L, Vicsek T (2007) Quantifying social group evolution. Nature 446:664-667
    • (2007) Nature , vol.446 , pp. 664-667
    • Palla, G.1    Barabasi, A.-L.2    Vicsek, T.3
  • 80
    • 78049357356 scopus 로고    scopus 로고
    • A graph-based clustering scheme for identifying related tags in folksonomies
    • Bilbao, Spain. Springer-Verlag
    • Papadopoulos S, Kompatsiaris Y, Vakali A (2010a) A graph-based clustering scheme for identifying related tags in folksonomies. In: Proceedings of DaWaK?10, Bilbao, Spain. Springer-Verlag, pp 65-76
    • (2010) Proceedings of DaWaK?10 , pp. 65-76
    • Papadopoulos, S.1    Kompatsiaris, Y.2    Vakali, A.3
  • 82
    • 79952158524 scopus 로고    scopus 로고
    • Cluster-based landmark and event detection on tagged photo collections
    • Papadopoulos S, Zigkolis C, Kompatsiaris Y, Vakali A (2010c) Cluster-based landmark and event detection on tagged photo collections. IEEE Multimed Mag 18(1):52-63
    • (2010) IEEE Multimed Mag , vol.18 , Issue.1 , pp. 52-63
    • Papadopoulos, S.1    Zigkolis, C.2    Kompatsiaris, Y.3    Vakali, A.4
  • 87
    • 34548856552 scopus 로고    scopus 로고
    • Near linear time algorithm to detect community structures in large-scale networks
    • Raghavan UN, Albert R, Kumara S (2007) Near linear time algorithm to detect community structures in large-scale networks. Phys Rev E 76:036106
    • (2007) Phys Rev e , vol.76 , pp. 036106
    • Raghavan, U.N.1    Albert, R.2    Kumara, S.3
  • 88
    • 33746227724 scopus 로고    scopus 로고
    • Statistical mechanics of community detection
    • Reichardt J, Bornholdt S (2006) Statistical mechanics of community detection. Phys Rev E 74:016110
    • (2006) Phys Rev e , vol.74 , pp. 016110
    • Reichardt, J.1    Bornholdt, S.2
  • 90
    • 39549086558 scopus 로고    scopus 로고
    • Maps of random walks on complex networks reveal community structure
    • Rosvall M, Bergstrom CT (2008) Maps of random walks on complex networks reveal community structure. Proc Natl Acad Sci USA 105:1118-1123
    • (2008) Proc Natl Acad Sci USA , vol.105 , pp. 1118-1123
    • Rosvall, M.1    Bergstrom, C.T.2
  • 92
    • 35248893285 scopus 로고    scopus 로고
    • Graph clustering
    • Schaeffer SE (2007) Graph clustering. Comput Sci Rev 1(1):27-64
    • (2007) Comput Sci Rev , vol.1 , Issue.1 , pp. 27-64
    • Schaeffer, S.E.1
  • 99
    • 70350344263 scopus 로고    scopus 로고
    • Clustering tags in enterprise and web folksonomies
    • Simpson E (2008) Clustering tags in enterprise and web folksonomies. Technical report HPL-2008-18
    • (2008) Technical Report HPL-2008-18
    • Simpson, E.1
  • 100
    • 34548066098 scopus 로고    scopus 로고
    • Integrating folksonomies with the semantic we
    • Springer-Verlag, Berlin
    • Specia L, Motta E (2007) Integrating folksonomies with the semantic web. Lecture notes in computer science, vol 4519. Springer-Verlag, Berlin, pp 624-639
    • (2007) Lecture Notes in Computer Science , vol.4519 , pp. 624-639
    • Specia, L.1    Motta, E.2
  • 103
    • 84897983665 scopus 로고    scopus 로고
    • Distributed technologies for personalized advertisement delivery
    • Hua X-S, Mei T, Hanjalic A (eds). IGI Global
    • Tsatsou D, Papadopoulos S, Kompatsiaris I, Davis PC (2010) Distributed technologies for personalized advertisement delivery. In: Hua X-S, Mei T, Hanjalic A (eds) Online multimedia advertising: techniques and technologies. IGI Global, pp 233-261. http://www.igi-global.com/bookstore/chapter.aspx? titleid=51963
    • (2010) Online Multimedia Advertising: Techniques and Technologies , pp. 233-261
    • Tsatsou, D.1    Papadopoulos, S.2    Kompatsiaris, I.3    Davis, P.C.4
  • 104
    • 10844281465 scopus 로고    scopus 로고
    • Email as spectroscopy: Automated discovery of community structure within organizations
    • Huysman M, Wenger E, Wulf V (eds), Kluwer B.V., Deventer
    • Tyler JR,Wilkinson DM, Huberman BA (2003) Email as spectroscopy: automated discovery of community structure within organizations. In: Huysman M, Wenger E, Wulf V (eds) Communities and technologies. Kluwer B.V., Deventer, pp 81-96
    • (2003) Communities and Technologies , pp. 81-96
    • Tyler, J.R.1    Wilkinson, D.M.2    Huberman, B.A.3
  • 105
    • 0005924596 scopus 로고    scopus 로고
    • Ph.D Thesis, Dutch National Research Institute for Mathematics and Computer Science, Utrecht, Netherlands
    • Van Dongen S (2000) Graph clustering by flow simulation. Ph.D. Thesis, Dutch National Research Institute for Mathematics and Computer Science, Utrecht, Netherlands
    • (2000) Graph Clustering by Flow Simulation
    • Van Dongen, S.1
  • 106
    • 34547300830 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • Max Planck Institute for Biological Cybernetics, August 2006
    • Von Luxburg U (2006) A tutorial on spectral clustering. Technical report 149. Max Planck Institute for Biological Cybernetics, August 2006
    • (2006) Technical Report , vol.149
    • Von Luxburg, U.1
  • 107
    • 33749022779 scopus 로고    scopus 로고
    • Network community structure and loop coefficient method
    • Vragovíc I, Louis E (2006) Network community structure and loop coefficient method. Phys Rev E 74:016105
    • (2006) Phys Rev e , vol.74 , pp. 016105
    • Vragovíc, I.1    Louis, E.2
  • 111
    • 33745445461 scopus 로고    scopus 로고
    • Force-based incremental algorithm for mining community structure in dynamic network
    • Yang B, Liu D-Y (2006) Force-based incremental algorithm for mining community structure in dynamic network. J Comput Sci Technol 21(3):393-400
    • (2006) J Comput Sci Technol , vol.21 , Issue.3 , pp. 393-400
    • Yang, B.1    Liu, D.-Y.2
  • 114
    • 84864230357 scopus 로고    scopus 로고
    • Thermodynamic approach for community discovering within the complex networks
    • Eprint arXiv:physics/0602063
    • Zakharov P (2006) Thermodynamic approach for community discovering within the complex networks: LiveJournal study. Eprint arXiv:physics/0602063
    • (2006) Live Journal Study
    • Zakharov, P.1
  • 115
    • 70350649111 scopus 로고    scopus 로고
    • Parallel community detection on large networks with propinquity dynamics
    • ACM
    • Zhang Y,Wang J,Wang Y, Zhou L (2009) Parallel community detection on large networks with propinquity dynamics. In: Proceedings of KDD ?09. ACM, pp 997-1006
    • (2009) Proceedings of KDD ?09 , pp. 997-1006
    • Zhang, Y.1    Wang, J.2    Wang, Y.3    Zhou, L.4
  • 116
    • 36348992495 scopus 로고    scopus 로고
    • Temporal and information flow based event detection from social text streams
    • Vancouver, BC, Canada, July 2007, AAAI Press
    • Zhao Q, Mitra P, Chen B (2007) Temporal and information flow based event detection from social text streams. In: Proceedings of the 22nd national conference on artificial intelligence, Vancouver, BC, Canada, July 2007. AAAI Press, pp 1501-1506
    • (2007) Proceedings of the 22nd National Conference on Artificial Intelligence , pp. 1501-1506
    • Zhao, Q.1    Mitra, P.2    Chen, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.