Texas Road Network
Jure Leskovec and Andrej Krevl

roadNet-TX.txt.gz 12.44MB
Type: Dataset
Tags: graph

Bibtex:
@article{,
title= {Texas Road Network},
keywords= {graph},
journal= {},
author= {Jure Leskovec and Andrej Krevl},
year= {},
url= {},
license= {},
abstract= {From http://snap.stanford.edu/data/roadNet-TX.html

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: 1921660
Nodes in largest WCC: 1351137 (0.979)
Edges in largest WCC: 1879201 (0.978)
Nodes in largest SCC: 1351137 (0.979)
Edges in largest SCC: 1879201 (0.978)
Average clustering coefficient: 0.0470
Number of triangles: 82869
Fraction of closed triangles: 0.02091
Diameter (longest shortest path): 1054
90-percentile effective diameter: 6.7e+02

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. Internet Mathematics 6(1) 29--123, 2009.},
superseded= {},
terms= {}
}

Hosted by users:

Send Feedback Start
   0.000003
DB Connect
   0.000297
Lookup hash in DB
   0.000689
Get torrent details
   0.000543
Get torrent details, finished
   0.000488
Get authors
   0.000046
Parse bibtex
   0.000224
Write header
   0.000434
get stars
   0.000414
home tab
   0.000492
render right panel
   0.000008
render ads
   0.000031
fetch current hosters
   0.000769
Done