메뉴 건너뛰기




Volumn 12, Issue 2, 2009, Pages 235-261

Detecting overlapping community structures in networks

Author keywords

Modularity function; Overlapping community structure; Random walks; Seed expansion

Indexed keywords

C-MEANS; COMMUNITY STRUCTURES; EXPANSION PROCESS; EXPANSION STRUCTURES; HIGH QUALITY; IN-NETWORK; ISOLATED COMMUNITY; NETWORKED SYSTEMS; OVERLAPPING COMMUNITIES; RANDOM WALK; RANDOM WALKS; REAL-WORLD APPLICATION; REAL-WORLD NETWORKS; SEED SET; SOCIAL NETWORKS; STATISTICAL FEATURES; THEORETIC ANALYSIS;

EID: 71349083748     PISSN: 1386145X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11280-009-0060-x     Document Type: Article
Times cited : (43)

References (32)
  • 1
    • 33645830948 scopus 로고    scopus 로고
    • CFinder: Locating cliques and overlapping modules in biological networks
    • Adamcsek, B., Palla, G., Farkas, I., Derényi, I., Vicsek, T.: CFinder: locating cliques and overlapping modules in biological networks. Bioinformatics 22, 1021-1023 (2006).
    • (2006) Bioinformatics , vol.22 , pp. 1021-1023
    • Adamcsek, B.1    Palla, G.2    Farkas, I.3    Derényi, I.4    Vicsek, T.5
  • 6
    • 14544272824 scopus 로고    scopus 로고
    • Random walks on graphs: Ideas techniques and results
    • Article R01, March
    • Burioni, R., Cassi, D.: Random walks on graphs: ideas techniques and results. J. Phys. A, Math. Gen. 38(8), Article R01, March (2005).
    • (2005) J. Phys. A, Math. Gen. , vol.38 , Issue.8
    • Burioni, R.1    Cassi, D.2
  • 7
    • 78149301227 scopus 로고    scopus 로고
    • A min-max cut algorithm for graph partitioning and data clustering
    • San Jose, 29 November-2 December
    • Ding, C. H. Q., He, X., Zha, H., Gu, M., Simon, H. D.: A min-max cut algorithm for graph partitioning and data clustering. In: Proceedings of ICDM, pp. 107-114, San Jose, 29 November-2 December 2001.
    • (2001) Proceedings of ICDM , pp. 107-114
    • Ding, C.H.Q.1    He, X.2    Zha, H.3    Gu, M.4    Simon, H.D.5
  • 8
    • 27244441304 scopus 로고    scopus 로고
    • Community detection in complex networks using extremal optimization
    • Duch, J., Arenas, A.: Community detection in complex networks using extremal optimization. Phys. Rev. E 72, 027104 (2005).
    • (2005) Phys. Rev. E , vol.72 , pp. 027104
    • Duch, J.1    Arenas, A.2
  • 9
    • 33646179859 scopus 로고    scopus 로고
    • Conductance and congestion in power law graphs
    • Gkantsidis, C., Mihail, M., Saberi, A.: Conductance and congestion in power law graphs. Sigmetrics 148-159 (2003).
    • (2003) Sigmetrics , pp. 148-159
    • Gkantsidis, C.1    Mihail, M.2    Saberi, A.3
  • 10
    • 3543127257 scopus 로고    scopus 로고
    • Web communities: Models and algorithms
    • Greco, G., Greco, S., Zumpano, E.: Web communities: models and algorithms. World Wide Web J. 7(1), 58C82 (2004).
    • (2004) World Wide Web J. , vol.7 , Issue.1
    • Greco, G.1    Greco, S.2    Zumpano, E.3
  • 15
  • 16
    • 84990479742 scopus 로고
    • An efficient heuristic procedure for partitioning graphs
    • Kernighan, B. W., Lin, S.: An efficient heuristic procedure for partitioning graphs. Bell Syst. Tech. J. 49, 291-307 (1970).
    • (1970) Bell Syst. Tech. J. , vol.49 , pp. 291-307
    • Kernighan, B.W.1    Lin, S.2
  • 17
    • 0006217743 scopus 로고
    • In: Combinatorics, Paul Erdös is eighty, (Keszthely), Bolyai Soc. Math. Stud. 2, János Bolyai Math. Soc., Budapest (1996)
    • Lovász, L.: Random walks on graphs: a survey. In: Combinatorics, Paul Erdös is eighty, vol. 2 (Keszthely, 1993), pp. 353-397, Bolyai Soc. Math. Stud. 2, János Bolyai Math. Soc., Budapest (1996).
    • (1993) Random Walks on Graphs: A Survey , vol.2 , pp. 353-397
    • Lovász, L.1
  • 18
    • 33746329613 scopus 로고    scopus 로고
    • Mathematical aspects of mixing times in markov chains
    • doi: http://10. 1561/0400000003
    • Montenegro, R., Tetali, P.: Mathematical aspects of mixing times in markov chains. Found. Trends Theor. Comp. Sci. 1 (2006). doi: http://10. 1561/0400000003.
    • (2006) Found. Trends Theor. Comp. Sci. , vol.1
    • Montenegro, R.1    Tetali, P.2
  • 19
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • Newman, M. E. J., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. 69, 026113 (2004).
    • (2004) Phys. Rev. , vol.69 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 20
    • 33749468596 scopus 로고    scopus 로고
    • Finding community structure in networks using the eigenvectors of matrices
    • Newman, M. E. J.: Finding community structure in networks using the eigenvectors of matrices. Phys. Rev. E 74, 036104 (2006).
    • (2006) Phys. Rev. E , vol.74 , pp. 036104
    • Newman, M.E.J.1
  • 21
    • 33745012299 scopus 로고    scopus 로고
    • Modularity and community structure in networks
    • Newman, M. E. J.: Modularity and community structure in networks. Proc. Natl. Acad. Sci. U. S. A. 103, 8577 (2006).
    • (2006) Proc. Natl. Acad. Sci. U. S. A. , vol.103 , pp. 8577
    • Newman, M.E.J.1
  • 22
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • Ng, A., Jordan, M., Weiss, Y.: On spectral clustering: analysis and an algorithm. Adv. Neural Inf. Process. Syst. 14, 849-856 (2002).
    • (2002) Adv. Neural Inf. Process. Syst. , vol.14 , pp. 849-856
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 23
    • 20444504323 scopus 로고    scopus 로고
    • Uncovering the overlapping community structure of complex networks in nature and society
    • Palla, G., Derényi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435, 814-818 (2005).
    • (2005) Nature , vol.435 , pp. 814-818
    • Palla, G.1    Derényi, I.2    Farkas, I.3    Vicsek, T.4
  • 24
    • 0000812783 scopus 로고
    • Partitioning sparse matrices with eigenvectors of graphs
    • Pothen, A., Simon, H., Liou, K.-P.: Partitioning sparse matrices with eigenvectors of graphs. SIAM J. Matrix Anal. Appl. 11, 430-452 (1990).
    • (1990) SIAM J. Matrix Anal. Appl. , vol.11 , pp. 430-452
    • Pothen, A.1    Simon, H.2    Liou, K.-P.3
  • 25
    • 38349105017 scopus 로고    scopus 로고
    • Prefetching in content distribution networks via web communities identification and outsourcing
    • Sidiropoulos, A., Pallis, G., Katsaros, D., Stamos, K., Vakali, A., Manolopoulos, Y.: Prefetching in content distribution networks via web communities identification and outsourcing. World Wide Web J. 11(1), 39-70 (2008).
    • (2008) World Wide Web J. , vol.11 , Issue.1 , pp. 39-70
    • Sidiropoulos, A.1    Pallis, G.2    Katsaros, D.3    Stamos, K.4    Vakali, A.5    Manolopoulos, Y.6
  • 27
    • 44949282112 scopus 로고
    • Partitioning of unstructured problems for parallel processing
    • Simon, H. D.: Partitioning of unstructured problems for parallel processing. Comput. Syst. Eng. 2(2-3), 135-148 (1991).
    • (1991) Comput. Syst. Eng. , vol.2 , Issue.2-3 , pp. 135-148
    • Simon, H.D.1
  • 28
    • 4544280485 scopus 로고    scopus 로고
    • Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems
    • New York: ACM
    • Spielman, D. A., Teng, S.-H.: Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems. In: ACM STOC-04, pp. 81-90. ACM, New York (2004).
    • (2004) ACM STOC-04 , pp. 81-90
    • Spielman, D.A.1    Teng, S.-H.2
  • 30
    • 84880106426 scopus 로고    scopus 로고
    • A spectral clustering approach to finding communities in graphs
    • Newport Beach, April
    • White, S., Smyth, P.: A spectral clustering approach to finding communities in graphs. In: SIAM International Conference on Data Mining, Newport Beach, 21-23 April 2005.
    • (2005) SIAM International Conference on Data Mining , pp. 21-23
    • White, S.1    Smyth, P.2
  • 31
    • 33751166180 scopus 로고    scopus 로고
    • Identification of overlapping community structure in complex networks using fuzzy c-means clustering
    • Jan. 15
    • Zhang SH, Wang RS, Zhang XS: Identification of overlapping community structure in complex networks using fuzzy c-means clustering. Phys. A-Stat. mech. Appl. 374(1), 483-490, Jan. 15 (2007).
    • (2007) Phys. A-Stat. Mech. Appl. , vol.374 , Issue.1 , pp. 483-490
    • Zhang, S.H.1    Wang, R.S.2    Zhang, X.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.