Visualization of Bibliographic Networks with a Reshaped Landscape Metaphor

We describe a novel approach to visualize bibliographic networks that facilitates the simultaneous identification of clusters (e.g., topic areas) and prominent entities (e.g., surveys or landmark papers). While employing the landscape metaphor proposed in several earlier works, we introduce new means to determine relevant parameters of the landscape. Moreover, we are able to compute prominent entities, clustering of entities, and the landscape's surface in a surprisingly simple and uniform way. The effectiveness of our network visualizations is illustrated on data from the graph drawing literature.

[1]  David S. Ebert,et al.  Data Visualization 2001 , 2001, Eurographics.

[2]  Kurt Mehlhorn,et al.  The LEDA Platform of Combinatorial and Geometric Computing , 1997, ICALP.

[3]  R. Sibson,et al.  A brief description of natural neighbor interpolation , 1981 .

[4]  Ray J. Paul,et al.  Visualizing a Knowledge Domain's Intellectual Structure , 2001, Computer.

[5]  Franz-Josef Brandenburg,et al.  Graph-Drawing Contest Report , 1999, GD.

[6]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[7]  B. Mohar.  Some applications of Laplace eigenvalues of graphs , 1997 .

[8]  Andrew Dillon,et al.  LVis-digital library visualizer , 2000, 2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics.

[9]  Gene H. Golub,et al.  Matrix computations , 1983 .

[10]  Hans Hagen,et al.  Subdivision Surfaces for Scattered-data Approximation , 2001, VisSym.

[11]  Hans Hagen,et al.  Terrain Modeling Using Voronoi Hierarchies , 2003 .

[12]  Markus Gross,et al.  H-BLOB: a hierarchical visual clustering method using implicit surfaces , 2000, Proceedings Visualization 2000. VIS 2000 (Cat. No.00CH37145).

[13]  Jan W. Buzydlowski,et al.  Co-cited author maps as interfaces to digital libraries: designing Pathfinder Networks in the humanities , 2000, 2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics.

[14]  Markus Gross,et al.  H-BLOB: a hierarchical visual clustering method using implicit surfaces , 2000 .

[15]  W. T. Tutte.  How to Draw a Graph , 1963 .

[16]  Matthew Chalmers,et al.  Using a Landscape Methaphor to Represent a Corpus of Documents , 1993, COSIT.

[17]  Rolf Klein,et al.  BibRelEx: exploring bibliographic databases by visualization of annotated content-based relations , 1999, 2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics.

[18]  M. M. Kessler.  Bibliographic coupling between scientific papers , 1963 .

[19]  Gordon F. Royle,et al.  Algebraic Graph Theory , 2001, Graduate texts in mathematics.

[20]  David S. Ebert,et al.  Data visualization 2001 : Proceedings of the joint Eurographics - IEEE TCVG Symposium on Visualization in Ascona, Switzerland, May 28-30, 2001 , 2001 .

[21]  Norman P. Hummon,et al.  Connectivity in a citation network: The development of DNA theory☆ , 1989 .

[22]  Bruce Hendrickson,et al.  Knowledge Mining With VxInsight: Discovery Through Interaction , 1998, Journal of Intelligent Information Systems.

[23]  P. Bonacich.  Factoring and weighting approaches to status scores and clique identification , 1972 .

[24]  Ulrik Brandes,et al.  Journal of Graph Algorithms and Applications Visual Ranking of Link Structures , 2022 .