Pajek/Wordnet3
Pajek network: Wordnet3 dictionary network
Name 
Wordnet3 
Group 
Pajek 
Matrix ID 
1531 
Num Rows

82,670 
Num Cols

82,670 
Nonzeros

132,964 
Pattern Entries

132,964 
Kind

Directed Weighted Graph 
Symmetric

No 
Date

2006 
Author


Editor

V. Batagelj 
Structural Rank 

Structural Rank Full 

Num Dmperm Blocks


Strongly Connect Components

67,689 
Num Explicit Zeros

0 
Pattern Symmetry

17.7% 
Numeric Symmetry

17.4% 
Cholesky Candidate

no 
Positive Definite

no 
Type

integer 
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/.

NOTE: this is a binary graph in the Pajek dataset, but where each edge has a
label (not a weight) in the range 1 to 9. The following labels are used:
1 hypernym pointer
2 entailment pointer
3 similar pointer
4 member meronym pointer
5 substance meronym pointer
6 part meronym pointer
7 cause pointer
8 grouped pointer
9 attribute pointer
This is not a multigraph. There are no edges (i,j) between the same nodes
with the same label. Thus, in the sparse matrix, the edge weight A(i,j)
represents the label 1 through 9 of edge (i,j). No loss of information
occurs in this translation. The above table is in aux.edgecode(1:9,:).
Each node is a word in a dictionary. aux.category(i) gives the category
of the word:
1: n (noun?) 63099 words
3: a (adjective?) 5501 words
4: r (?) 2846 words
5: s (?) 6728 words.

