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Volumn 17, Issue 12, 2011, Pages 2268-2275

Developing and evaluating quilts for the depiction of large layered graphs

Author keywords

Graph drawing; layered graphs; matrix based depiction; node link diagram.

Indexed keywords

AS GRAPH; DESIGN ALTERNATIVES; FLOW CHARTS; GRAPH DRAWING; LARGE GRAPHS; LAYERED GRAPHS; MATRIX; MATRIX BASED DEPICTION; NODE GRAPH; NODE-LINK DIAGRAMS; PATH FINDING;

EID: 80855140990     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2011.187     Document Type: Article
Times cited : (23)

References (16)
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    • An efficient implementation of sugiyama's algorithm for layered graph drawing
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    • Eiglsperger, M.1    Siebenhaller, M.2    Kaufmann, M.3
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    • 0034274870 scopus 로고    scopus 로고
    • An open graph visualization system and its applications to software engineering
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    • (2000) Software: Practice and Experience , vol.30 , pp. 1203-1233
    • Gansner, E.1    North, S.2
  • 8
    • 16244398384 scopus 로고    scopus 로고
    • A comparison of the readability of graphs using node-link and matrix-based representations
    • Proceedings - IEEE Symposium on Information Visualization, INFO VIS 2004
    • M. Ghoniem, J.-D. Fekete, and P. Castagliola. A comparison of the readability of graphs using node-link and matrix-based representations. Proceedings of the IEEE Symposium on Information Visualization, pages 17-24, 2004. (Pubitemid 40449123)
    • (2004) Proceedings - IEEE Symposium on Information Visualization, INFO VIS , pp. 17-24
    • Ghoniem, M.1    Fekete, J.-D.2    Castagliola, P.3
  • 12
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    • Matrices or node-link diagrams: Which visual representation is better for visualising connectivity models?
    • R. Keller, T. Eger, C. Eckert, and P. Clarkson. Matrices or node-link diagrams: which visual representation is better for visualising connectivity models? Information Visualization, 2006.
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    • Keller, R.1    Eger, T.2    Eckert, C.3    Clarkson, P.4
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    • Heuristics, experimental subjects and treatment evaluation in bigraph crossing minimization
    • M. Stallmann, F. Brglez, and D. Ghosh. Heuristics, experimental subjects and treatment evaluation in bigraph crossing minimization. ACM J. Exp. Algorithmics, 6(8):1-42, 2001.
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    • Stallmann, M.1    Brglez, F.2    Ghosh, D.3
  • 15
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    • Methods for visual understanding of hierarchical system structures
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.