{"id":38,"date":"2020-04-18T00:08:15","date_gmt":"2020-04-17T14:08:15","guid":{"rendered":"http:\/\/jeffreychan.org\/?page_id=38"},"modified":"2020-04-18T00:51:59","modified_gmt":"2020-04-17T14:51:59","slug":"softwares-datasets","status":"publish","type":"page","link":"https:\/\/jeffreychan.org\/index.php\/jeffrey-chan\/softwares-datasets\/","title":{"rendered":"Softwares &#038; Datasets"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Software<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>AutoSim<\/strong>&nbsp;and vertex comparison:&nbsp;<a href=\"https:\/\/github.com\/jkcc\/MuNS\">Link to GitHub Repository&nbsp;<\/a>This is mainly C++ code for our proposed vertex similarity measure AutoSim, and several other popular ones, like SimRank, P-Rank, MatchSim and RoleSim. The code is still under development, so please forgive us if something breaks between iterations.<\/li><li><strong>LICRE<\/strong>:&nbsp;<a href=\"https:\/\/sites.google.com\/site\/licrerepository\/\">Link to Google hosting site&nbsp;<\/a>(see paper&nbsp;<a href=\"https:\/\/sites.google.com\/site\/drjkcc\/publications\/licre.pdf?attredirects=0\">&#8220;Licre: Unsupervised feature correlation reduction for lipodomics&#8221;&nbsp;<\/a>)<\/li><li><strong>Blockmodel comparison measures<\/strong>:&nbsp;<a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/code\/bmCompare.tar.gz\">Matlab&nbsp;<\/a>(see paper&nbsp;<a href=\"https:\/\/sites.google.com\/site\/drjkcc\/publications\/bmdis.pdf?attredirects=0\">&#8220;Structure-aware Distance Measures for Computing Clusterings in Graphs&#8221;&nbsp;<\/a>)<\/li><li><strong>FactorBlock<\/strong>, matrix factorisation based graph clustering:&nbsp;<a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/code\/factorBlock.zip\">Matlab&nbsp;<\/a>(see paper&nbsp;<a href=\"https:\/\/sites.google.com\/site\/drjkcc\/publications\/cikm2013.pdf?attredirects=0\">&#8220;Discovering Latent Blockmodels in Sparse and Noisy Graphs using Non-Negative Matrix Factorisation&#8221;&nbsp;<\/a>)<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator is-style-wide\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Datasets<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Regions of correlated change datasets<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Some synthetic datasets. I will put up some documentation for them (hopefully) soon. In meantime, please contact me for further details.<br><a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/data\/cross.tar.gz\">cross dataset<\/a><br><a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/data\/different.tar.gz\">different dataset<\/a><br><a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/data\/combo.tar.gz\">combo dataset<\/a><br><a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/data\/farSameCloseDiff.tar.gz\">farSameCloseDiff dataset<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Some other interesting dynamic graphical datasets.<br><a href=\"http:\/\/ita.ee.lbl.gov\/html\/contrib\/WorldCup.html\">Web access logs for (Football\/Soccer) World Cup 98<\/a><br><a href=\"http:\/\/www.routeviews.org\/\">BGP routing data, collected by the Routeviews project<\/a><br><a href=\"http:\/\/www.cheswick.com\/ches\/map\/index.html\">Internet Mapping Project, conducted by Bill Cheswick<\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Dynamic Blockmodelling Datasets<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Synthetic dataset used for the KDD 2012 paper. I have only unloaded the 75% density dataset, as they are quite big.<br><a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/data\/genbm-0.75.tar.gz\">genbm-0.75.tar.gz<\/a><br>If you are using this dataset, please kindly cite the KDD 2012 paper (&#8220;SeqiBloc: Mining Multi-time Spanning Blockmodels in Dynamic Graphs&#8221;) &#8211; thanks.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Blockmodel comparison datasets<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Synthetic dataset used in the blockmodelling comparison paper.<br><a href=\"http:\/\/people.eng.unimelb.edu.au\/jeffreyc\/data\/bmcompare_syn.tar.gz\">bmcompare_syn.tar.gz<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Software AutoSim&nbsp;and vertex comparison:&nbsp;Link to GitHub Repository&nbsp;This is mainly C++ code for our proposed vertex similarity measure AutoSim, and several other popular ones, like SimRank, P-Rank, MatchSim and RoleSim. The code is still under development, so please forgive us if something breaks between iterations. LICRE:&nbsp;Link to Google hosting site&nbsp;(see paper&nbsp;&#8220;Licre: Unsupervised feature correlation reduction for &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/jeffreychan.org\/index.php\/jeffrey-chan\/softwares-datasets\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Softwares &#038; Datasets&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":9,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-38","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/pages\/38","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/comments?post=38"}],"version-history":[{"count":2,"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/pages\/38\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/pages\/38\/revisions\/56"}],"up":[{"embeddable":true,"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/pages\/9"}],"wp:attachment":[{"href":"https:\/\/jeffreychan.org\/index.php\/wp-json\/wp\/v2\/media?parent=38"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}