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Volumn , Issue , 2013, Pages 1489-1492

An efficient algorithm for approximate betweenness centrality computation

Author keywords

Approximate algorithms; Betweenness centrality; Centrality; Social network analysis

Indexed keywords

APPROXIMATE ALGORITHMS; APPROXIMATION ERRORS; BETWEENNESS CENTRALITY; CENTRALITY; CENTRALITY MEASURES; DIVERSE METHODS; SAMPLING METHOD; SAMPLING TECHNIQUE;

EID: 84889588516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2507826     Document Type: Conference Paper
Times cited : (9)

References (12)
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    • Brandes, U.1
  • 5
    • 0023384210 scopus 로고
    • Fibonacci heaps and their uses in improved network optimization algorithms
    • M. L. Fredman and R. E. Tarjan, Fibonacci heaps and their uses in improved network optimization algorithms, Journal of the Association for Computing Machinery, 34(3), 596-615, 1987.
    • (1987) Journal of the Association for Computing Machinery , vol.34 , Issue.3 , pp. 596-615
    • Fredman, M.L.1    Tarjan, R.E.2
  • 6
    • 84865730611 scopus 로고
    • A set of measures of centrality based upon betweenness
    • L. C. Freeman, A set of measures of centrality based upon betweenness, Sociometry, 40, 35-41, 1977.
    • (1977) Sociometry , vol.40 , pp. 35-41
    • Freeman, L.C.1
  • 7
    • 58349114641 scopus 로고    scopus 로고
    • Better approximation of betweenness centrality
    • R. Geisberger, P. Sanders, D. Schultes, Better Approximation of Betweenness Centrality, ALENEX, 90-100, 2008.
    • (2008) ALENEX , pp. 90-100
    • Geisberger, R.1    Sanders, P.2    Schultes, D.3
  • 8
    • 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. Natl. Acad. Sci. USA 99, 7821-7826, 2002.
    • (2002) Proc. Natl. Acad. Sci. USA , vol.99 , pp. 7821-7826
    • Girvan, M.1    Newman, M.E.J.2
  • 10
    • 84924178998 scopus 로고    scopus 로고
    • Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters
    • J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney, Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters, Internet Mathematics, 6(1), 29-123, 2009.
    • (2009) Internet Mathematics , vol.6 , Issue.1 , pp. 29-123
    • Leskovec, J.1    Lang, K.2    Dasgupta, A.3    Mahoney, M.4
  • 12
    • 81055146937 scopus 로고    scopus 로고
    • Identifying and characterizing nodes important to community structure using the spectrum of the graph
    • Y. Wang, Z. Di, Y. Fan, Identifying and Characterizing Nodes Important to Community Structure Using the Spectrum of the Graph, PLoS ONE 6(11), e27418, 2011.
    • (2011) PLoS ONE , vol.6 , Issue.11
    • Wang, Y.1    Di, Z.2    Fan, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.