Matrix: SNAP/roadNet-TX
Description: Road network of Texas
(undirected graph drawing) |
Matrix properties | |
number of rows | 1,393,383 |
number of columns | 1,393,383 |
nonzeros | 3,843,320 |
# strongly connected comp. | 13,890 |
explicit zero entries | 0 |
nonzero pattern symmetry | symmetric |
numeric value symmetry | symmetric |
type | binary |
structure | symmetric |
Cholesky candidate? | no |
positive definite? | no |
author | J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney |
editor | J. Leskovec |
date | 2008 |
kind | undirected graph |
2D/3D problem? | no |
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 Texas road network Dataset information This is a road network of Texas. Intersections and endpoints are represented by nodes, and the roads connecting these intersections or endpoints are represented by undirected edges. Dataset statistics Nodes 1379917 Edges 3843320 Nodes in largest WCC 1351137 (0.979) Edges in largest WCC 3758402 (0.978) Nodes in largest SCC 1351137 (0.979) Edges in largest SCC 3758402 (0.978) Average clustering coefficient 0.0470 Number of triangles 82869 Fraction of closed triangles 0.06022 Diameter (longest shortest path) 1049 90-percentile effective diameter 6.7e+002 Source (citation) J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. arXiv.org:0810.1355, 2008. Files File Description roadNet-TX.txt.gz Texas road network
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.