Pajek/HEPth
Pajek network: High Energy Physics literature
Name 
HEPth 
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 
5.596091e66 
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 

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.unilj.si/pub/networks/data/.

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 SPIRESHEP database has been
comprehensively cataloguing the High Energy Particle Physics (HEP) literature
online since 1974, and indexes more than 500,000 highenergy physics related
articles including their full citation tree.
The network contains a citation graph of the hepth 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

