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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/hotho/detection"><title>BibSonomy bookmarks for /user/hotho/detection</title><link>https://www.bibsonomy.org/user/hotho/detection</link><description>BibSonomy RSS Feed for /user/hotho/detection</description><items><rdf:Seq><rdf:li rdf:resource="https://www.kaggle.com/datasets/debasisdotcom/racoon-detection?resource=download"/><rdf:li rdf:resource="https://github.com/bing0037/Raccoon_dataset?utm_source=chatgpt.com"/><rdf:li rdf:resource="https://pjreddie.com/darknet/yolo/"/><rdf:li rdf:resource="https://www.ibm.com/developerworks/analytics/library/iot-deep-learning-anomaly-detection-5/index.html?ca=drs-"/><rdf:li rdf:resource="http://selfiecity.net/selfiexploratory/"/><rdf:li rdf:resource="http://www.technologyreview.com/web/23100/"/><rdf:li rdf:resource="http://socialmedia.typepad.com/blog/2008/10/social-network-visualization-eyecandy.html"/><rdf:li rdf:resource="http://www.webis.de/pan-09/competition.php"/><rdf:li rdf:resource="http://givealink.org/Site/socialspam.html"/><rdf:li rdf:resource="http://socialmedia.typepad.com/blog/2008/04/clustering-tags.html"/><rdf:li rdf:resource="http://www.cs.umd.edu/projects/linqs/ddupe/"/><rdf:li rdf:resource="http://www.yr-bcn.es/webspam/datasets/"/><rdf:li rdf:resource="http://www.ecmlpkdd2006.org/challenge.html"/><rdf:li rdf:resource="http://www.ir.iit.edu/~abdur/Research/Duplicate.html"/><rdf:li rdf:resource="http://arxiv.org/abs/physics/0605087"/><rdf:li rdf:resource="http://webspam.lip6.fr/wiki/pmwiki.php"/><rdf:li rdf:resource="http://arxiv.org/multi?archive=cond-mat&amp;file=new+abstracts&amp;year=%2706&amp;month=10&amp;args=0309488&amp;%2Fabs=Show+Abstract&amp;search_year=past+year&amp;field_1=au&amp;query_1=&amp;subj_cond-mat=-%3E+cond-mat+subject+classes&amp;subj_physics=-%3E+physics+subject+classes"/><rdf:li rdf:resource="http://cscs.umich.edu/~crshalizi/notebooks/community-discovery.html"/></rdf:Seq></items></channel><item rdf:about="https://www.kaggle.com/datasets/debasisdotcom/racoon-detection?resource=download"><title>Racoon Detection</title><description>Detect Racoon from the images by putting bounding boxes</description><link>https://www.kaggle.com/datasets/debasisdotcom/racoon-detection?resource=download</link><dc:creator>hotho</dc:creator><dc:date>2025-12-30T17:31:14+01:00</dc:date><dc:subject>dataset daten detection racoon waschbär </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Detect Racoon from the images by putting bounding boxes&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/daten"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/racoon"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/waschbär"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/bing0037/Raccoon_dataset?utm_source=chatgpt.com"><title>bing0037/Raccoon_dataset: Dataset for Raccoon Detection</title><description>Dataset for Raccoon Detection. Contribute to bing0037/Raccoon_dataset development by creating an account on GitHub.</description><link>https://github.com/bing0037/Raccoon_dataset?utm_source=chatgpt.com</link><dc:creator>hotho</dc:creator><dc:date>2025-12-30T17:29:27+01:00</dc:date><dc:subject>dataset daten detection raccoon waschbär </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Dataset for Raccoon Detection. Contribute to bing0037/Raccoon_dataset development by creating an account on GitHub.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/daten"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/raccoon"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/waschbär"/></rdf:Bag></taxo:topics></item><item rdf:about="https://pjreddie.com/darknet/yolo/"><title>YOLO: Real-Time Object Detection</title><description>You only look once (YOLO) is a state-of-the-art, real-time object detection system.</description><link>https://pjreddie.com/darknet/yolo/</link><dc:creator>hotho</dc:creator><dc:date>2018-08-18T16:45:34+02:00</dc:date><dc:subject>cuda darknet deep detection learning object opencv yolo </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;You only look once (YOLO) is a state-of-the-art, real-time object detection system.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cuda"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/darknet"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/object"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/opencv"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/yolo"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.ibm.com/developerworks/analytics/library/iot-deep-learning-anomaly-detection-5/index.html?ca=drs-"><title>Developing cognitive IoT solutions for anomaly detection by using deep learning, Part 5: Using Keras and TensorFlow for anomaly detection</title><description></description><link>https://www.ibm.com/developerworks/analytics/library/iot-deep-learning-anomaly-detection-5/index.html?ca=drs-</link><dc:creator>hotho</dc:creator><dc:date>2018-08-15T09:29:07+02:00</dc:date><dc:subject>accelerator anomaly deep detection flow ibm keras learning tensor </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2018-08-15T09:29:07+02:00&#034; href=&#034;https://www.ibm.com/developerworks/analytics/library/iot-deep-learning-anomaly-detection-5/index.html?ca=drs-&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.ibm.com/developerworks/analytics/library/iot-deep-learning-anomaly-detection-5/index.html?ca=drs-&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/accelerator"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/anomaly"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/flow"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ibm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/keras"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tensor"/></rdf:Bag></taxo:topics></item><item rdf:about="http://selfiecity.net/selfiexploratory/"><title>Selfiexploratory</title><description>Investigating the style of self-portraits (selfies) in five cities across the world.</description><link>http://selfiecity.net/selfiexploratory/</link><dc:creator>hotho</dc:creator><dc:date>2015-03-06T14:38:30+01:00</dc:date><dc:subject>detection everyaware image mood perception selfie </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Investigating the style of self-portraits (selfies) in five cities across the world.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/everyaware"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/image"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mood"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/perception"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/selfie"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.technologyreview.com/web/23100/"><title>Technology Review: A Better Way to Rank Expertise Online</title><description></description><link>http://www.technologyreview.com/web/23100/</link><dc:creator>hotho</dc:creator><dc:date>2009-07-31T18:05:09+02:00</dc:date><dc:subject>bookmarking detection social spam </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2009-07-31T18:05:09+02:00&#034; href=&#034;http://www.technologyreview.com/web/23100/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.technologyreview.com/web/23100/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bookmarking"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/spam"/></rdf:Bag></taxo:topics></item><item rdf:about="http://socialmedia.typepad.com/blog/2008/10/social-network-visualization-eyecandy.html"><title>Social Media Research Blog: Social Network Visualization Eyecandy</title><description>Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...</description><link>http://socialmedia.typepad.com/blog/2008/10/social-network-visualization-eyecandy.html</link><dc:creator>hotho</dc:creator><dc:date>2009-04-28T15:06:41+02:00</dc:date><dc:subject>blog community detection graph media network post social visualization </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/community"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/graph"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/media"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/network"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/post"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/visualization"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.webis.de/pan-09/competition.php"><title>Web Technology &amp; Information Systems</title><description></description><link>http://www.webis.de/pan-09/competition.php</link><dc:creator>hotho</dc:creator><dc:date>2009-04-23T20:28:46+02:00</dc:date><dc:subject>2009 challenge competition detection plagiarism workshop </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2009-04-23T20:28:46+02:00&#034; href=&#034;http://www.webis.de/pan-09/competition.php&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.webis.de/pan-09/competition.php&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/2009"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/challenge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/competition"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/plagiarism"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/workshop"/></rdf:Bag></taxo:topics></item><item rdf:about="http://givealink.org/Site/socialspam.html"><title>Social Spam Detection Benjamin Markines Ciro Cattuto Filippo Menczer</title><description>Social Spam Detection</description><link>http://givealink.org/Site/socialspam.html</link><dc:creator>hotho</dc:creator><dc:date>2009-04-01T17:04:55+02:00</dc:date><dc:subject>detection dataset classification bibsonomy spam </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Social Spam Detection&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bibsonomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/spam"/></rdf:Bag></taxo:topics></item><item rdf:about="http://socialmedia.typepad.com/blog/2008/04/clustering-tags.html"><title>Social Media Research Blog: Clustering Tags and Links Simultaneously</title><description></description><link>http://socialmedia.typepad.com/blog/2008/04/clustering-tags.html</link><dc:creator>hotho</dc:creator><dc:date>2008-07-12T12:19:51+02:00</dc:date><dc:subject>clustering community detection folksonomy toread </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2008-07-12T12:19:51+02:00&#034; href=&#034;http://socialmedia.typepad.com/blog/2008/04/clustering-tags.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://socialmedia.typepad.com/blog/2008/04/clustering-tags.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/community"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/folksonomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/toread"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cs.umd.edu/projects/linqs/ddupe/"><title>DDupe</title><description>A Novel Tool for Interactive Data Deduplication and Integration</description><link>http://www.cs.umd.edu/projects/linqs/ddupe/</link><dc:creator>hotho</dc:creator><dc:date>2007-08-29T15:58:58+02:00</dc:date><dc:subject>bibliographic bibtex detection duplicate entry tools </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A Novel Tool for Interactive Data Deduplication and Integration&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bibliographic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bibtex"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/duplicate"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/entry"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tools"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.yr-bcn.es/webspam/datasets/"><title>Datasets</title><description></description><link>http://www.yr-bcn.es/webspam/datasets/</link><dc:creator>hotho</dc:creator><dc:date>2007-07-19T01:15:17+02:00</dc:date><dc:subject>dataset detection spam webspam </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2007-07-19T01:15:17+02:00&#034; href=&#034;http://www.yr-bcn.es/webspam/datasets/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.yr-bcn.es/webspam/datasets/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/spam"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/webspam"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.ecmlpkdd2006.org/challenge.html"><title>ECML/PKDD Discovery Challenge 2006</title><description></description><link>http://www.ecmlpkdd2006.org/challenge.html</link><dc:creator>hotho</dc:creator><dc:date>2007-05-18T20:38:05+02:00</dc:date><dc:subject>KI2007WebMining dataset detection email spam </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2007-05-18T20:38:05+02:00&#034; href=&#034;http://www.ecmlpkdd2006.org/challenge.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.ecmlpkdd2006.org/challenge.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/KI2007WebMining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/email"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/spam"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.ir.iit.edu/~abdur/Research/Duplicate.html"><title>Duplicate Data Detection</title><description></description><link>http://www.ir.iit.edu/~abdur/Research/Duplicate.html</link><dc:creator>hotho</dc:creator><dc:date>2007-03-07T18:00:20+01:00</dc:date><dc:subject>detection duplicate toread </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2007-03-07T18:00:20+01:00&#034; href=&#034;http://www.ir.iit.edu/~abdur/Research/Duplicate.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.ir.iit.edu/~abdur/Research/Duplicate.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/duplicate"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/toread"/></rdf:Bag></taxo:topics></item><item rdf:about="http://arxiv.org/abs/physics/0605087"><title>[physics/0605087] Finding community structure in networks using the eigenvectors of matrices</title><description></description><link>http://arxiv.org/abs/physics/0605087</link><dc:creator>hotho</dc:creator><dc:date>2007-01-26T13:19:12+01:00</dc:date><dc:subject>to:bibtex eigenvector detection community </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2007-01-26T13:19:12+01:00&#034; href=&#034;http://arxiv.org/abs/physics/0605087&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://arxiv.org/abs/physics/0605087&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/to:bibtex"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/eigenvector"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/community"/></rdf:Bag></taxo:topics></item><item rdf:about="http://webspam.lip6.fr/wiki/pmwiki.php"><title>Web Spam Challenge - HomePage</title><description></description><link>http://webspam.lip6.fr/wiki/pmwiki.php</link><dc:creator>hotho</dc:creator><dc:date>2007-01-23T14:04:04+01:00</dc:date><dc:subject>web spam detection 2007 challenge workshop </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2007-01-23T14:04:04+01:00&#034; href=&#034;http://webspam.lip6.fr/wiki/pmwiki.php&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://webspam.lip6.fr/wiki/pmwiki.php&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/web"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/spam"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/2007"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/challenge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/workshop"/></rdf:Bag></taxo:topics></item><item rdf:about="http://arxiv.org/multi?archive=cond-mat&amp;file=new+abstracts&amp;year=%2706&amp;month=10&amp;args=0309488&amp;%2Fabs=Show+Abstract&amp;search_year=past+year&amp;field_1=au&amp;query_1=&amp;subj_cond-mat=-%3E+cond-mat+subject+classes&amp;subj_physics=-%3E+physics+subject+classes"><title>[cond-mat/0309488] Defining and identifying communities in networks</title><description>identifying communities</description><link>http://arxiv.org/multi?archive=cond-mat&amp;file=new+abstracts&amp;year=%2706&amp;month=10&amp;args=0309488&amp;%2Fabs=Show+Abstract&amp;search_year=past+year&amp;field_1=au&amp;query_1=&amp;subj_cond-mat=-%3E+cond-mat+subject+classes&amp;subj_physics=-%3E+physics+subject+classes</link><dc:creator>hotho</dc:creator><dc:date>2006-10-05T11:13:14+02:00</dc:date><dc:subject>to:bibtex detection community </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;identifying communities&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/to:bibtex"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/community"/></rdf:Bag></taxo:topics></item><item rdf:about="http://cscs.umich.edu/~crshalizi/notebooks/community-discovery.html"><title>Community Discovery Methods for Complex Networks</title><description></description><link>http://cscs.umich.edu/~crshalizi/notebooks/community-discovery.html</link><dc:creator>hotho</dc:creator><dc:date>2006-08-02T14:24:01+02:00</dc:date><dc:subject>clustering social toread detection analysis community network sna </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2006-08-02T14:24:01+02:00&#034; href=&#034;http://cscs.umich.edu/~crshalizi/notebooks/community-discovery.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://cscs.umich.edu/~crshalizi/notebooks/community-discovery.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/toread"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/detection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analysis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/community"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/network"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sna"/></rdf:Bag></taxo:topics></item></rdf:RDF>