Matrix: Newman/polblogs
Description: Political blogosphere Feb. 2005
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| (bipartite graph drawing) | (graph drawing of A+A') |
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| Matrix properties | |
| number of rows | 1,490 |
| number of columns | 1,490 |
| nonzeros | 19,025 |
| # strongly connected comp. | 688 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | 24% |
| numeric value symmetry | 24% |
| type | integer |
| structure | unsymmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | L. Adamic, N. Glance |
| editor | M. Newman |
| date | 2005 |
| kind | directed multigraph |
| 2D/3D problem? | no |
| Additional fields | size and type |
| nodename | full 1490-by-80 |
| nodevalue | full 1490-by-1 |
| nodesource | full 1490-by-62 |
Notes:
Network collection from M. Newman
http://www-personal.umich.edu/~mejn/netdata/
Political blogosphere Feb. 2005
Data compiled by Lada Adamic and Natalie Glance
Node "value" attributes indicate political leaning according to:
0 (left or liberal)
1 (right or conservative)
Data on political leaning comes from blog directories as indicated. Some
blogs were labeled manually, based on incoming and outgoing links and posts
around the time of the 2004 presidential election. Directory-derived
labels are prone to error; manual labels even more so.
Links between blogs were automatically extracted from a crawl of the front
page of the blog.
These data should be cited as Lada A. Adamic and Natalie Glance, "The
political blogosphere and the 2004 US Election", in Proceedings of the
WWW-2005 Workshop on the Weblogging Ecosystem (2005).
| SVD-based statistics: | |
| norm(A) | 56.426 |
| min(svd(A)) | 0 |
| cond(A) | Inf |
| rank(A) | 784 |
| null space dimension | 706 |
| full numerical rank? | no |
| singular value gap | 1.33878e+12 |
| singular values (MAT file): | click here |
| SVD method used: | s = svd (full (A)) ; |
| status: | ok |

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.