<?xml version="1.0" encoding="UTF-8"?>
<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/boehr/analyzing"><title>BibSonomy bookmarks for /user/boehr/analyzing</title><link>https://www.bibsonomy.org/user/boehr/analyzing</link><description>BibSonomy RSS Feed for /user/boehr/analyzing</description><items><rdf:Seq><rdf:li rdf:resource="http://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html"/><rdf:li rdf:resource="http://www.ibm.com/developerworks/opensource/library/os-socialtools/index.html"/><rdf:li rdf:resource="http://statestats.appspot.com/?q=porsche"/><rdf:li rdf:resource="http://nwb.slis.indiana.edu/index.html"/><rdf:li rdf:resource="http://jung.sourceforge.net/index.html"/><rdf:li rdf:resource="http://twitterfacts.blogspot.com/"/><rdf:li rdf:resource="http://followcost.com/"/><rdf:li rdf:resource="http://www.monitter.com/"/><rdf:li rdf:resource="http://twist.flaptor.com/"/><rdf:li rdf:resource="http://www.neoformix.com/Projects/TwitterStreamGraphs/view.php"/><rdf:li rdf:resource="http://tweetrush.com/"/><rdf:li rdf:resource="http://www.twitscoop.com/"/></rdf:Seq></items></channel><item rdf:about="http://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html"><title>The Extreme Presentation(tm) Method: Choosing a good chart</title><description>Here&#039;s something we came up with to help you consider which chart to use.</description><link>http://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html</link><dc:creator>boehr</dc:creator><dc:date>2009-01-19T11:24:30+01:00</dc:date><dc:subject>analyzing graph visualisation </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Here&amp;#039;s something we came up with to help you consider which chart to use.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/graph"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/visualisation"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.ibm.com/developerworks/opensource/library/os-socialtools/index.html"><title>Social-networking open source visualization aids</title><description>Social-networking data analysis can help you understand content, connections, and opportunities for your personal and business associations. This article presents tools and code to extract key components of your social network using the Twitter API to chart, geolocate, and visualize your social-networking data.</description><link>http://www.ibm.com/developerworks/opensource/library/os-socialtools/index.html</link><dc:creator>boehr</dc:creator><dc:date>2009-01-09T10:32:19+01:00</dc:date><dc:subject>analyzing socialnetwork </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Social-networking data analysis can help you understand content, connections, and opportunities for your personal and business associations. This article presents tools and code to extract key components of your social network using the Twitter API to chart, geolocate, and visualize your social-networking data.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/socialnetwork"/></rdf:Bag></taxo:topics></item><item rdf:about="http://statestats.appspot.com/?q=porsche"><title>StateStats</title><description>This tool shows you how popular a Google search query is in each U.S. state, giving a ranking like the one you see in the left column. It then compares this ranking with other ways of ranking states, like average income or population density, using Spearman&#039;s rank correlation. The middle column shows the results of these comparisons, with the strongest correlations listed first. High numbers (close to 1.0) mean that the rankings &#034;line up&#034; closely, which may indicate a relationship between the search query and the ranking metric. For example, mittens tends to be searched by users who are in northerly states (high latitude) and states with a lot of frost. Low numbers (close to -1.0) indicate a negative relationship -- that is, the rankings are close to being opposites, as in &#034;yoga&#034; and &#034;VotedForBush&#034;. </description><link>http://statestats.appspot.com/?q=porsche</link><dc:creator>boehr</dc:creator><dc:date>2008-12-06T21:45:54+01:00</dc:date><dc:subject>analyzing mashup statistics </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This tool shows you how popular a Google search query is in each U.S. state, giving a ranking like the one you see in the left column. It then compares this ranking with other ways of ranking states, like average income or population density, using Spearman&amp;#039;s rank correlation. The middle column shows the results of these comparisons, with the strongest correlations listed first. High numbers (close to 1.0) mean that the rankings &amp;#034;line up&amp;#034; closely, which may indicate a relationship between the search query and the ranking metric. For example, mittens tends to be searched by users who are in northerly states (high latitude) and states with a lot of frost. Low numbers (close to -1.0) indicate a negative relationship -- that is, the rankings are close to being opposites, as in &amp;#034;yoga&amp;#034; and &amp;#034;VotedForBush&amp;#034;. &lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mashup"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/statistics"/></rdf:Bag></taxo:topics></item><item rdf:about="http://nwb.slis.indiana.edu/index.html"><title>Network Workbench | Welcome</title><description>Network Workbench: A Large-Scale Network Analysis, Modeling and Visualization Toolkit for Biomedical, Social Science and Physics Research.</description><link>http://nwb.slis.indiana.edu/index.html</link><dc:creator>boehr</dc:creator><dc:date>2008-11-10T12:51:57+01:00</dc:date><dc:subject>analyzing socialnetwork </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Network Workbench: A Large-Scale Network Analysis, Modeling and Visualization Toolkit for Biomedical, Social Science and Physics Research.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/socialnetwork"/></rdf:Bag></taxo:topics></item><item rdf:about="http://jung.sourceforge.net/index.html"><title>JUNG - Java Universal Network/Graph Framework</title><description>JUNG — the Java Universal Network/Graph Framework--is a software library that provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. It is written in Java, which allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries. </description><link>http://jung.sourceforge.net/index.html</link><dc:creator>boehr</dc:creator><dc:date>2008-11-09T23:45:32+01:00</dc:date><dc:subject>analyzing socialnetwork </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;JUNG — the Java Universal Network/Graph Framework--is a software library that provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. It is written in Java, which allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries. &lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/socialnetwork"/></rdf:Bag></taxo:topics></item><item rdf:about="http://twitterfacts.blogspot.com/"><title>Twitter Facts</title><description>Facts and opinions on Twitter and the Twitosphere</description><link>http://twitterfacts.blogspot.com/</link><dc:creator>boehr</dc:creator><dc:date>2008-11-09T22:43:13+01:00</dc:date><dc:subject>analyzing twitter </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Facts and opinions on Twitter and the Twitosphere&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/></rdf:Bag></taxo:topics></item><item rdf:about="http://followcost.com/"><title>follow cost: Is that Twitter celebrity worth the pain?</title><description>How annoying will it be to follow TWITTERNAME on Twitter? </description><link>http://followcost.com/</link><dc:creator>boehr</dc:creator><dc:date>2008-10-16T11:06:38+02:00</dc:date><dc:subject>analyzing twitter </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;How annoying will it be to follow TWITTERNAME on Twitter? &lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.monitter.com/"><title>monitter : real time, live twitter monitor | free live twitter embed widget</title><description>Simple. It&#039;s a twitter monitor, it lets you &#034;monitter&#034; the twitter world for a set of 3 keywords and watch what people are saying. Cool huh?</description><link>http://www.monitter.com/</link><dc:creator>boehr</dc:creator><dc:date>2008-10-15T18:48:18+02:00</dc:date><dc:subject>analyzing monitoring twitter </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Simple. It&amp;#039;s a twitter monitor, it lets you &amp;#034;monitter&amp;#034; the twitter world for a set of 3 keywords and watch what people are saying. Cool huh?&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/monitoring"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/></rdf:Bag></taxo:topics></item><item rdf:about="http://twist.flaptor.com/"><title>Twist - see trends in twitter</title><description>You can compare various concepts, separate them with commas </description><link>http://twist.flaptor.com/</link><dc:creator>boehr</dc:creator><dc:date>2008-09-22T10:20:17+02:00</dc:date><dc:subject>analyzing trends twitter </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;You can compare various concepts, separate them with commas &lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/trends"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.neoformix.com/Projects/TwitterStreamGraphs/view.php"><title>Twitter StreamGraphs</title><description>A StreamGraph is shown for the latest 200 tweets which contain the search word. The default search word is &#039;interesting&#039; but a new one can be typed into the text box at the top of the application. You can also enter a Twitter ID preceded by the &#039;@&#039; symbol to see the latest tweets from that user. A parameter to the URL can be used to specify the initial search word. For example, use http://www.neoformix.com/Projects/TwitterStreamGraphs/view.php?q=coffee to see the latest tweets about coffee. </description><link>http://www.neoformix.com/Projects/TwitterStreamGraphs/view.php</link><dc:creator>boehr</dc:creator><dc:date>2008-09-22T10:12:12+02:00</dc:date><dc:subject>analyzing twitter visualisation </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A StreamGraph is shown for the latest 200 tweets which contain the search word. The default search word is &amp;#039;interesting&amp;#039; but a new one can be typed into the text box at the top of the application. You can also enter a Twitter ID preceded by the &amp;#039;@&amp;#039; symbol to see the latest tweets from that user. A parameter to the URL can be used to specify the initial search word. For example, use http://www.neoformix.com/Projects/TwitterStreamGraphs/view.php?q=coffee to see the latest tweets about coffee. &lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/visualisation"/></rdf:Bag></taxo:topics></item><item rdf:about="http://tweetrush.com/"><title>Tweetrush</title><description></description><link>http://tweetrush.com/</link><dc:creator>boehr</dc:creator><dc:date>2008-09-16T22:50:40+02:00</dc:date><dc:subject>analyzing rules twitter </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2008-09-16T22:50:40+02:00&#034; href=&#034;http://tweetrush.com/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://tweetrush.com/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/rules"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.twitscoop.com/"><title>Twitscoop - Search twitter, see what&#039;s hot right now</title><description>Analyzes Twitter for current Hot Topics</description><link>http://www.twitscoop.com/</link><dc:creator>boehr</dc:creator><dc:date>2008-09-16T17:25:31+02:00</dc:date><dc:subject>analyzing datamining twitter </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Analyzes Twitter for current Hot Topics&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analyzing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/></rdf:Bag></taxo:topics></item></rdf:RDF>