Description: small web crawl of Italian CNR domain
|(bipartite graph drawing)||(graph drawing of A+A')|
|number of rows||325,557|
|number of columns||325,557|
|# strongly connected comp.||100,977|
|explicit zero entries||0|
|nonzero pattern symmetry||25%|
|numeric value symmetry||25%|
|author||Laboratory for Web Algorithmics (LAW), Universita degli Studi di Milano, http://law.di.unimi.it/index.php|
|editor||Laboratory for Web Algorithmics (LAW), Universita degli Studi di Milano, http://law.di.unimi.it/index.php|
Laboratory for Web Algorithmics (LAW), Universita degli Studi di Milano, http://law.di.unimi.it/index.php. When using matrices in the LAW/ group in the collection, please follow the citation instructions at http://law.di.unimi.it/datasets.php. If you publish results based on these graphs, please acknowledge the usage of WebGraph and LLP by quoting the following papers:  "The WebGraph Framework I: Compression Techniques," Paolo Boldi and Sebastiano Vigna, Proc. of the Thirteenth International World Wide Web Conference (WWW 2004), 2004, Manhattan, USA, pp. 595--601, ACM Press.  "Layered Label Propagation: A MultiResolution Coordinate-Free Ordering for Compressing Social Networks," Paolo Boldi, Marco Rosa, Massimo Santini, and Sebastiano Vigna, Proceedings of the 20th international conference on World Wide Web, 2011, ACM Press. If the graphs you are using were gathered by UbiCrawler, please acknowledge the usage of UbiCrawler by quoting the following paper:  "UbiCrawler: A Scalable Fully Distributed Web Crawler", Paolo Boldi, Bruno Codenotti, Massimo Santini, and Sebastiano Vigna, Software: Practice & Experience, 2004, vol 34, no. 8, pp. 711--726 LAW/cnr-2000 A very small crawl of the Italian CNR domain. For additional graph properties and statistics, including node labels, see http://law.di.unimi.it/webdata/cnr-2000
For a description of the statistics displayed above, click here.
Maintained by Tim Davis, last updated 09-Mar-2015.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.