@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superseded= {},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= {}
}