Matrix: SNAP/cit-HepPh
Description: Arxiv High Energy Physics paper citation network
|
|
| (bipartite graph drawing) | (graph drawing of A+A') |
 |
 |
| Matrix properties | |
| number of rows | 34,546 |
| number of columns | 34,546 |
| nonzeros | 421,578 |
| # strongly connected comp. | 21,608 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | 0% |
| numeric value symmetry | 0% |
| type | binary |
| structure | unsymmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | J. Gehrke, P. Ginsparg, J. Kleinberg |
| editor | J. Leskovec |
| date | 2003 |
| kind | directed graph |
| 2D/3D problem? | no |
| Additional fields | size and type |
| nodename | full 34546-by-1 |
Notes:
Networks from SNAP (Stanford Network Analysis Platform) Network Data Sets,
Jure Leskovec http://snap.stanford.edu/data/index.html
email jure at cs.stanford.edu
High-energy physics citation network
Dataset information
Arxiv HEP-PH (high energy physics phenomenology ) citation graph is from the
e-print arXiv and covers all the citations within a dataset of 34,546 papers
with 421,578 edges. If a paper i cites paper j, the graph contains a directed
edge from i to j. If a paper cites, or is cited by, a paper outside the
dataset, the graph does not contain any information about this.
The data covers papers in the period from January 1993 to April 2003 (124
months). It begins within a few months of the inception of the arXiv, and thus
represents essentially the complete history of its HEP-PH section.
The data was originally released as a part of 2003 KDD Cup.
Dataset statistics
Nodes 34546
Edges 421578
Nodes in largest WCC 34401 (0.996)
Edges in largest WCC 421485 (1.000)
Nodes in largest SCC 12711 (0.368)
Edges in largest SCC 139981 (0.332)
Average clustering coefficient 0.2962
Number of triangles 1276868
Fraction of closed triangles 0.1457
Diameter (longest shortest path) 12
90-percentile effective diameter 5
Source (citation)
J. Leskovec, J. Kleinberg and C. Faloutsos. Graphs over Time: Densification
Laws, Shrinking Diameters and Possible Explanations. ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD), 2005.
J. Gehrke, P. Ginsparg, J. M. Kleinberg. Overview of the 2003 KDD Cup. SIGKDD
Explorations 5(2): 149-151, 2003.
Files
File Description
cit-HepPh.txt.gz Paper citation network of Arxiv High Energy Physics category
cit-HepPh-dates.txt.gz Time of nodes (paper submission time to Arxiv)
| SVD-based statistics: | |
| norm(A) | 57.0772 |
| min(svd(A)) | 0 |
| cond(A) | Inf |
| rank(A) | 26,377 |
| null space dimension | 8,169 |
| full numerical rank? | no |
| singular value gap | 3.44355e+09 |
| singular values (MAT file): | click here |
| SVD method used: | s = svd (full (A)) |
| status: | ok |
For a description of the statistics displayed above, click here.
Maintained by Tim Davis, last updated 12-Mar-2014.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.