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
Null Space Dimension 6,078
Full Numerical Rank? no
Download Singular Values MATLAB
Download MATLAB Rutherford Boeing Matrix Market
Pajek network converted to sparse adjacency matrix for inclusion in UF sparse 
matrix collection, Tim Davis.  For Pajek datasets, See V. Batagelj & A. Mrvar,                                
 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.                       
 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