Matrix: DIMACS10/wv2010
Description: DIMACS10 set: redistrict/wv2010 and wv2010a
(undirected graph drawing) |
Matrix properties | |
number of rows | 135,218 |
number of columns | 135,218 |
nonzeros | 662,922 |
# strongly connected comp. | 1 |
explicit zero entries | 0 |
nonzero pattern symmetry | symmetric |
numeric value symmetry | symmetric |
type | integer |
structure | symmetric |
Cholesky candidate? | no |
positive definite? | no |
author | W. Zhao |
editor | H. Meyerhenke |
date | 2010 |
kind | undirected weighted graph |
2D/3D problem? | no |
Additional fields | size and type |
population | full 135218-by-1 |
area | full 135218-by-1 |
coord | full 135218-by-2 |
Notes:
DIMACS10 redistrict set Redistricting and Graph Partitioning ==================================== The xx2010a graphs are generated from U.S. Census 2010 and Tiger/Line 2010 shapefiles. They are freely available from census.gov web site. The xx prefix in the filenames are the U.S. Postal Service acronyms of the state names, e.g. ny is New York. * the vertices are the Census Blocks; * two vertices have an edge if and only if the corresponding Census Blocks share a line segment on their border, i.e. rook-style neighboring. * each vertex has two weights: (1) Census2010 POP100 or the number of people living in that Census Block, and. (2) Land Area of the Census Block in square meters * the edge weights are the pseudo-length of the shared borderlines. The pseudo-length is calculated using sqrt(x^2 + y^2), x and y being the differences in longitudes and latitudes of each line segment on the shared borderlines. Then the result is multiplied by 10^7 to make the edge weights integers. * each Census Block gets identified by a point, and the XY coordinates are the longitudes and latitudes of each point. The points are selected by Census to be internal to the Census Blocks, but the tech doc says that they are not always internal (but always very close). Author: Will Zhao Added to the DIMACS10 collection by Henning Meyerhenke, 2011 The DIMACS10 collection also includes versions of these graphs with unweighted edges. The two sets have been merged in this collection. If you want the unweighted version, just drop the edge weights on the graphs present in this collection.
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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.