Literature DB >> 10850760

Characterizing graph drawing with eigenvectors

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Abstract

Two definitions of the problem of graph drawing are considered, and an analytical solution is provided for each of them. The solutions obtained make use of the eigenvectors of the Laplacian matrix of a related structure. The procedures give good results for symmetrical graphs, and they have already been used for drawing fullerene molecules in the literature. The analysis characterizes precisely what problems the two procedures are solving. It also illuminates why they can perform unsatisfactorily on asymmetrical graphs.

Entities:  

Year:  2000        PMID: 10850760     DOI: 10.1021/ci9900938

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  3 in total

1.  The topology of fullerenes.

Authors:  Peter Schwerdtfeger; Lukas N Wirz; James Avery
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2015-01

2.  Analyzing self-similar and fractal properties of the C. elegans neural network.

Authors:  Tyler M Reese; Antoni Brzoska; Dylan T Yott; Daniel J Kelleher
Journal:  PLoS One       Date:  2012-10-05       Impact factor: 3.240

3.  PD1-Expressing T Cell Subsets Modify the Rejection Risk in Renal Transplant Patients.

Authors:  Rebecca Pike; Niclas Thomas; Sarita Workman; Lyn Ambrose; David Guzman; Shivajanani Sivakumaran; Margaret Johnson; Douglas Thorburn; Mark Harber; Benny Chain; Hans J Stauss
Journal:  Front Immunol       Date:  2016-04-11       Impact factor: 7.561

  3 in total

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