Pajek/HEP-th
Pajek network: High Energy Physics literature
Name |
HEP-th |
Group |
Pajek |
Matrix ID |
1502 |
Num Rows
|
27,240 |
Num Cols
|
27,240 |
Nonzeros
|
342,437 |
Pattern Entries
|
342,437 |
Kind
|
Directed Graph |
Symmetric
|
No |
Date
|
2003 |
Author
|
KDD Cup 2003 |
Editor
|
V. Batagelj |
Structural Rank |
|
Structural Rank Full |
|
Num Dmperm Blocks
|
|
Strongly Connect Components
|
19,565 |
Num Explicit Zeros
|
0 |
Pattern Symmetry
|
0.3% |
Numeric Symmetry
|
0.3% |
Cholesky Candidate
|
no |
Positive Definite
|
no |
Type
|
binary |
SVD Statistics |
Matrix Norm |
8.432346e+01 |
Minimum Singular Value |
5.596091e-66 |
Condition Number |
1.506828e+67
|
Rank |
21,162 |
sprank(A)-rank(A) |
|
Null Space Dimension |
6,078 |
Full Numerical Rank? |
no |
Download Singular Values |
MATLAB
|
Download |
MATLAB
Rutherford Boeing
Matrix Market
|
Notes |
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Pajek network converted to sparse adjacency matrix for inclusion in UF sparse
matrix collection, Tim Davis. For Pajek datasets, See V. Batagelj & A. Mrvar,
http://vlado.fmf.uni-lj.si/pub/networks/data/.
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High Energy Particle Physics (HEP) literature
---------------------------------------------
Citation data from KDD Cup 2003, a knowledge discovery and data mining
competition held in conjunction with the Ninth Annual ACM SIGKDD Conference.
http://www.cs.cornell.edu/projects/kddcup/index.html
The Stanford Linear Accelerator Center SPIRES-HEP database has been
comprehensively cataloguing the High Energy Particle Physics (HEP) literature
online since 1974, and indexes more than 500,000 high-energy physics related
articles including their full citation tree.
The network contains a citation graph of the hep-th portion of the arXiv.
The units names are the arXiv IDs of papers; the relation is X cites Y .
Note that revised papers may have updated citations. As such, citations may
refer to future papers, i.e. a paper may cite another paper that was publishe
after the first paper.
Update May 12, 2003 is not included.
transformed in Pajek format: V. Batagelj, 26. July 2003
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