%-------------------------------------------------------------------------------
% SuiteSparse Matrix Collection, Tim Davis
% https://sparse.tamu.edu/MAWI/mawi_201512012345
% name: MAWI/mawi_201512012345
% [MAWI Working Group Traffic Archive: graph 201512012345]
% id: 2800
% date: 2015
% author: MAWI
% ed: MIT
% fields: name title A id date author ed kind notes
% kind: undirected weighted graph
%-------------------------------------------------------------------------------
% notes:
% MAWI Working Group Traffic Archive (http://mawi.wide.ad.jp/mawi/):   
% The MAWI (Measurement and Analysis on the WIDE Internet) Working     
% Group is a working group that has carried out network traffic        
% measurement, analysis, evaluation, and verification from the         
% beginning of the WIDE Project. The graphs provided here were         
% generated from packet trace data from the WIDE backbone maintained by
% the MAWI Working Group.                                              
%                                                                      
% MAWI Datasets: Name, link, and Description                           
%                                                                      
% Graph 1 Num. vertices :  18571154, Edge count :  38040320            
%     http://mawi.wide.ad.jp/mawi/ditl/ditl2015/201512012345.html      
%     in 2018 GraphChallenge: 201512012345.v18571154_e38040320.tsv.gz  
%     in the SuiteSparse Matrix Collection: MAWI/mawi_201512012345     
%                                                                      
% Graph 2 Num. vertices :  35991342, Edge count :  74485420            
%     http://mawi.wide.ad.jp/mawi/ditl/ditl2015/201512020000.html      
%     in 2018 GraphChallenge: 201512020000.v35991342_e74485420.tsv.gz  
%     in the SuiteSparse Matrix Collection: MAWI/mawi_201512020000     
%                                                                      
% Graph 3 Num. vertices :  68863315, Edge count : 143414960            
%     http://mawi.wide.ad.jp/mawi/ditl/ditl2015/201512020030.html      
%     in 2018 GraphChallenge: 201512020030.v68863315_e143414960.tsv.gz 
%     in the SuiteSparse Matrix Collection: MAWI/mawi_201512020030     
%                                                                      
% Graph 4 Num. vertices : 128568730, Edge count : 270234840            
%     http://mawi.wide.ad.jp/mawi/ditl/ditl2015/201512020130.html      
%     in 2018 GraphChallenge: 201512020130.v128568730_e270234840.tsv.gz
%     in the SuiteSparse Matrix Collection: MAWI/mawi_201512020130     
%                                                                      
% Graph 5 Num. vertices : 226196185, Edge count : 480047894            
%     http://mawi.wide.ad.jp/mawi/ditl/ditl2015/201512020330.html      
%     in 2018 GraphChallenge: 201512020330.v226196185_e480047894.tsv.gz
%     in the SuiteSparse Matrix Collection: MAWI/mawi_201512020330     
%                                                                      
% These matrices appear in the 2018 GraphChallenge:                    
% see https://graphchallenge.mit.edu/data-sets                         
%                                                                      
% MAWILab is a database that assists researchers to evaluate their     
% traffic anomaly detection methods. It consists of a set of labels    
% locating traffic anomalies in the MAWI archive (samplepoints B and   
% F). The labels are obtained using an advanced graph-based methodology
% that compares and combines different and independent anomaly         
% detectors. The data set is daily updated to include new traffic from 
% upcoming applications and anomalies.                                 
%                                                                      
% You may use WIDE traffic data for only research purposes. Actions    
% that trespass upon users' privacy are prohibited.                    
%                                                                      
% Guidelines for protecting user privacy in WIDE traffic archive:      
% http://mawi.wide.ad.jp/mawi/guideline.txt                            
%                                                                      
% In the 2018 GraphChallenge data set (and thus also in the SuiteSparse
% Matrix Collection), only the connectivity of the graph is provided,  
% with no user information at all on the nodes or edges.  Privacy      
% guidelines are thus met.                                             
%                                                                      
% Related Papers:                                                      
%                                                                      
% Kenjiro Cho.  Recursive Lattice Search: Hierarchical Heavy Hitters   
% Revisited.  ACM IMC 2017, London, UK, November 2017.                 
%                                                                      
% Romain Fontugne, Patrice Abry, Kensuke Fukuda, Darryl Veitch, Kenjiro
% Cho, Pierre Borgnat, Herwig Wendt.  Scaling in Internet Traffic: a 14
% year and 3 day longitudinal study, with multiscale analyses and      
% random projections.  IEEE/ACM Transactions on Networking, vol.25(4). 
% pp2152--2165. August 2017.                                           
%                                                                      
% Midori Kato, Kenjiro Cho, Michio Honda, Hideyuki Tokuda.  Monitoring 
% the Dynamics of Network Traffic by Recursive Multi-dimensional       
% Aggregation.  OSDI2012 MAD Workshop. Hollywood, CA. October 2012.    
%                                                                      
% R. Fontugne, P. Borgnat, P. Abry, K. Fukuda.  "MAWILab: Combining    
% diverse anomaly detectors for automated anomaly labeling and         
% performance benchmarking".  ACM CoNEXT 2010. Philadelphia, PA.       
% December 2010.                                                       
%                                                                      
% Pierre Borgnat, Guillaume Dewaele, Kensuke Fukuda, Patrice Abry,     
% Kenjiro Cho.  "Seven Years and One Day: Sketching the Evolution of   
% Internet Traffic." INFOCOM2009. Rio de Janeiro, Brazil. April 2009.  
%                                                                      
% Guilaume Dewaele, Kensuke Fukuda, Pierre Borgnat, Patrice Abry,      
% Kenjiro Cho.  "Extracting Hidden Anomalies using Sketch and Non      
% Gaussian Multiresolution Statistical Detection Procedures"           
% SIGCOMM2007 LSAD Workshop, Kyoto Japan.  August 2007..               
%                                                                      
% Kenjiro Cho, Ryo Kaizaki and Akira Kato.  "Aguri: An                 
% Aggregation-based Traffic Profiler" In Proceedings of QofIS2001      
% (published by Springer-Verlag in the LCNS series). September 2001.   
%                                                                      
% Kenjiro Cho, Koushirou Mitsuya and Akira Kato.  "Traffic Data        
% Repository at the WIDE Project" USENIX 2000 FREENIX Track, San Diego,
% CA, June 2000.                                                       
%                                                                      
% Akira KATO, Jun MURAI, Satoshi KATSUNO and Tohru ASAMI.  "An Internet
% Traffic Data Repository: The Architecture and the Design Policy"     
% INET99, San Jose, CA, June 1999.                                     
%                                                                      
% MAWI data set imported into the SuiteSparse Matrix Collection on July
% 2018, from the 2018 GraphChallenge data set                          
%-------------------------------------------------------------------------------
