SNAP network: SuperUser temporal network
Name sx-superuser
Group SNAP
Matrix ID 2795
Num Rows 194,085
Num Cols 194,085
Nonzeros 924,886
Pattern Entries 924,886
Kind Directed Temporal Multigraph
Symmetric No
Date 2017
Author A. Paranjape, A. R. Benson, and J. Leskovec
Editor J. Leskovec
Structural Rank
Structural Rank Full
Num Dmperm Blocks
Strongly Connect Components 108,289
Num Explicit Zeros 0
Pattern Symmetry 32.7%
Numeric Symmetry 19.8%
Cholesky Candidate no
Positive Definite no
Type integer
Download MATLAB Rutherford Boeing Matrix Market
SNAP (Stanford Network Analysis Platform) Large Network Dataset Collection,
Jure Leskovec and Anrej Krevl,, June 2014.   
email: jure at                                             
Super User temporal network                                                
Dataset information                                                        
This is a temporal network of interactions on the stack exchange web site  
Super User ( There are three different types of     
interactions represented by a directed edge (u, v, t):                     
user u answered user v's question at time t (in the graph sx-superuser-a2q)
user u commented on user v's question at time t (in the graph              
sx-superuser-c2q) user u commented on user v's answer at time t (in the    
graph sx-superuser-c2a)                                                    
The graph sx-superuser contains the union of these graphs. These graphs    
were constructed from the Stack Exchange Data Dump. Node ID numbers        
correspond to the 'OwnerUserId' tag in that data dump.                     
Dataset statistics (sx-superuser)                                          
Nodes   194,085                                                            
Temporal Edges  1,443,339                                                  
Edges in static graph   924,886                                            
Time span   2773 days                                                      
Dataset statistics (sx-superuser-a2q)                                      
Nodes   167,981                                                            
Temporal Edges  430,033                                                    
Edges in static graph   403,578                                            
Time span   2773 days                                                      
Dataset statistics (sx-mathoverflow-c2q)                                   
Nodes   94,548                                                             
Temporal Edges  479,067                                                    
Edges in static graph   291,030                                            
Time span   2769 days                                                      
Dataset statistics (sx-superuser-c2a)                                      
Nodes   101,052                                                            
Temporal Edges  534,239                                                    
Edges in static graph   289,487                                            
Time span   2735 days                                                      
Source (citation)                                                          
Ashwin Paranjape, Austin R. Benson, and Jure Leskovec. "Motifs in Temporal 
Networks." In Proceedings of the Tenth ACM International Conference on Web 
Search and Data Mining, 2017.                                              
File    Description                                                        
sx-superuser.txt.gz All interactions                                       
sx-superuser-a2q.txt.gz Answers to questions                               
sx-superuser-c2q.txt.gz Comments to questions                              
sx-superuser-c2a.txt.gz Comments to answers                                
Data format                                                                
    SRC DST UNIXTS                                                         
    where edges are separated by a new line and                            
    SRC: id of the source node (a user)                                    
    TGT: id of the target node (a user)                                    
    UNIXTS: Unix timestamp (seconds since the epoch)                       
Notes on inclusion into the SuiteSparse Matrix Collection, July 2018:      
The SNAP graph is 1-based, with nodes in all graphs numbered 1 to          
In the SuiteSparse Matrix Collection, the primary matrix, Problem.A, is    
the overall static graph, with 924,886 edges, of size n-by-n with          
n=194,085.  These edges represent the 1,443,339 temporal edges.  A(i,j) is 
the number of times person u=nodeid(i) interacted with person v=nodeid(j), 
with a temporal edge (u,v,t), with any kind of interaction.                
Problem.aux.nodeid is a list of the node id's that appear in the SNAP data 
A2Q = Problem.aux.Q2A is the static sx-superuser-a2q graph.                
C2Q = Problem.aux.C2Q is the static sx-superuser-c2q graph.                
C2A = Problem.aux.C2A is the static sx-superuser-c2a graph.                
These sum together to give the the overall graph.  That is,                
A = A2Q + C2Q + C2A.                                                       
A2Q(u,v) is the number of times person u answered v's questions.           
C2Q(u,v) is the number of times person u commented on v's question.        
C2A(u,v) is the number of times person u commented on v's answer.          
The temporal edges are held in:                                            
Problem.aux.temporal_edges:     [1,443,339 x 3]                            
Problem.aux.temporal_edges_a2q: [  430,033 x 3]                            
Problem.aux.temporal_edges_c2q: [  479,067 x 3]                            
Problem.aux.temporal_edges_c2a: [  534,239 x 3]                            
Each row in these matrices is a single temporal edge, (u,v,t).  Summing up 
all entries in A gives 1,443,339 and likewise the sum of entries in the    
other graphs gives the number of temporal edges they represent.