Description: document similarity graph
|(undirected graph drawing)|
|number of rows||2,427|
|number of columns||2,427|
|# strongly connected comp.||1|
|explicit zero entries||0|
|nonzero pattern symmetry||symmetric|
|numeric value symmetry||symmetric|
|kind||undirected weighted graph|
|Additional fields||size and type|
KnowledgeMap -- Visualizing Invisible Networks of Knowledge in a Scientific Discipline, by M. Moqri, Univ of Florida, Warrington College of Business Administration. http://misknowledgemap.warrington.ufl.edu/ http://www.moqri.com/ This undirected wieghted graph describes the similarities between a set of 2427 articles. A(i,j) is 0 if articles i and j are not similar at all, 1 if they are extremely similar. The similarity metric is based on LSA, co-citation, and bibliographic coupling of the articles. Information about each node is as follows: label: the title of the document (text) year: year published (ranges from 2005 to 2014) (number) source: journal (text) authors: list of authors (text) keywords: list of keywords separated by semicolons (text) topics: list of keywords separated by semicolons (text) abstract: (text) times cited: (number)
For a description of the statistics displayed above, click here.
Maintained by Tim Davis, last updated 04-Jun-2015.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.