# 1 Matrix Market

Note: A repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services. Origin Notes: Compiled by the https://math.nist.gov/mcsd/ of the http://www.itl.nist.gov/ of the http://www.nist.gov/ graph features handled: Dense, Large, Sparse, Weighted edges Graph features in papers: generic,generic,large,generic,weighted edges,large Origin Paper: Matrix Market: a web resource for test matrix collections (https://www.notion.so/Matrix-Market-a-web-resource-for-test-matrix-collections-53a2935e0af842bf86971553c4f823dc?pvs=21) Originally found at: https://math.nist.gov/MatrixMarket/index.html Appeared in years: 2018,2005,2006,2020 Type of Collection: Established Network Repo (No report) is it stored properly?: No must be analyzed: No In repo?: No Related to Literature - Algorithm (1) (Dataset tag relations): Drawing graphs by eigenvectors: theory and practice (https://www.notion.so/Drawing-graphs-by-eigenvectors-theory-and-practice-1b5e3919d8c94ad18f29f20c7480b07a?pvs=21), ? Aesthetic Discrimination of Graph Layouts (https://www.notion.so/Aesthetic-Discrimination-of-Graph-Layouts-98cc70abc7424e7895cf73e988563219?pvs=21), Eigensolver methods for progressive multidimensional scaling of large data (https://www.notion.so/Eigensolver-methods-for-progressive-multidimensional-scaling-of-large-data-b5ab815edb48469192605e5ad31329c0?pvs=21), Graph Drawing by Stress Majorization (https://www.notion.so/Graph-Drawing-by-Stress-Majorization-bb89493301a244b78710704ffd727140?pvs=21) cleaned format?: No duplicate?: No link works?: Yes Added in paper: No Origin paper plaintext: Matrix Market: a web resource for test matrix collections Page id: 80bd4320417342458aefa031cf65db1f unavailable/skip: Yes Cleaned ALL data: No first look: No Related to Literature - Algorithm (Dataset tag relations) 1: Aesthetic Discrimination of Graph Layouts (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Aesthetic%20Discrimination%20of%20Graph%20Layouts%2025f75d8fd4b44bd99006e2316d28f6cd.md), Drawing graphs by eigenvectors: theory and practice (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Drawing%20graphs%20by%20eigenvectors%20theory%20and%20practice%2039ccd4aeec6448f8a58d51b986c9d097.md), Eigensolver methods for progressive multidimensional scaling of large data (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Eigensolver%20methods%20for%20progressive%20multidimension%20b4b33cff0cf94e8db1fd3dcdab73f9e4.md), Graph Drawing by Stress Majorization (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Graph%20Drawing%20by%20Stress%20Majorization%20041a912bda5f47cfb88a71f980f4f8d9.md), Sublinear Time Force Computation for Big Complex Network Visualization (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Sublinear%20Time%20Force%20Computation%20for%20Big%20Complex%20N%20999af7d2d1c942628bada6371a87100f.md)

# 2 Body

### Descriptions from Literature

From “Graph Drawing by Stress Majorization”:

> The first example is the 1138Bus graph (|V|=1138, |E|=1458) from the Matrix Market repository [1]. This graph models a network of high-voltage power distribution lines. Figure 4 shows two layouts of this graph.

### Example Figures

From “Drawing graphs by eigenvectors: theory and practice” (top two layouts are a Matrix Market graph):

Screen Shot 2023-08-17 at 9.59.19 AM.png

From “Graph Drawing by Stress Majorization”:

Screen Shot 2023-08-17 at 11.13.32 AM.png