http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/ EBB is the ebiquity research group\\\'s blog at the University of Maryland, Baltimore County (UMBC). We focus on technologies that facilitate the design, implementation and control of distributed, intelligent information systems -- mobile and pervasive computing, ad hoc networking, multiagent systems, knowledge representation and reasoning, and the semantic web. As the tides of technology ebb and flow, we hope the good ideas wash up on our beach and the bad ones drift back out to sea. Tue, 06 Dec 2011 19:29:16 +0000 hourly 1 http://wordpress.org/?v=3.3.1 http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-33273 » Networks in Twitter » Cornell Info 2040 - Networks Tue, 16 Feb 2010 02:47:57 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-33273 [...] is immediately apparent how one can build a network structure in Twitter by noting that users have followers and those they are following, and connecting people [...] [...] is immediately apparent how one can build a network structure in Twitter by noting that users have followers and those they are following, and connecting people [...]

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-32634 ciberesfera » Blog Archive » links for 2010-01-17 Sun, 17 Jan 2010 20:03:26 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-32634 [...] Twitter Social Network Analysis (tags: visualization twitter socialnetworks microblogging graph analysis) [...] [...] Twitter Social Network Analysis (tags: visualization twitter socialnetworks microblogging graph analysis) [...]

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-32348 tweeting spaces « read write do Fri, 18 Dec 2009 23:06:20 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-32348 [...] Can twitter be killer app for the “internet of things”? Apparently not but it hasn’t failed to capture the imagination of many: TwitArcs, TweetWheel, Twitter Statistics, Twitter Spectrum, Twitter Topic Stream, Twitter Social Network Analysis [...] [...] Can twitter be killer app for the “internet of things”? Apparently not but it hasn’t failed to capture the imagination of many: TwitArcs, TweetWheel, Twitter Statistics, Twitter Spectrum, Twitter Topic Stream, Twitter Social Network Analysis [...]

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-29743 Are you being followed? | DearMau.de Tue, 23 Jun 2009 11:02:29 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-29743 [...] 3. I do not have my finger on the pulse of net events, or even the news. I do not talk to Shaq or Steve Jobs [...] [...] 3. I do not have my finger on the pulse of net events, or even the news. I do not talk to Shaq or Steve Jobs [...]

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-29682 Richard Boire Mon, 15 Jun 2009 16:31:44 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-29682 What kind of tools can we use to begin extracting the raw Twitter data in order to analyze it ourselves in terms of text mining as well as looking at interconnections What kind of tools can we use to begin extracting the raw Twitter data in order to analyze it ourselves in terms of text mining as well as looking at interconnections

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-29573 Max Kiesler - Designer » Blog Archive » Twitter Social Network Analysis Sun, 31 May 2009 04:53:22 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-29573 [...] Visit the website [...] [...] Visit the website [...]

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-29533 Twitter Search Wed, 27 May 2009 01:16:06 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-29533 thats great that you are talking about the twitter api,a good example of searching with the twitter api is on twiogle.com because you can search on twitter and google at the same time. thats great that you are talking about the twitter api,a good example of searching with the twitter api is on twiogle.com because you can search on twitter and google at the same time.

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-28403 Aeromental sale en 2 gráficos de Twitter Social Network Analysis =A= Aeromental Sat, 28 Feb 2009 10:55:03 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-28403 [...] Página Fuente del estudio. Tags: Aeromental + gráfico + twitter + Ver todos [...] [...] Página Fuente del estudio. Tags: Aeromental + gráfico + twitter + Ver todos [...]

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-26813 Marcelino 2.0 » Blog Archive » Communicating Through Color: Infographics Thu, 09 Oct 2008 11:30:24 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-26813 [...] Java, from ebiquity group, used the Large Graph Layout (LGL) tool to visualize a large social network on Twitter. The top graph shown here was built using contacts from about 25,000 users. Notice that there is a [...] [...] Java, from ebiquity group, used the Large Graph Layout (LGL) tool to visualize a large social network on Twitter. The top graph shown here was built using contacts from about 25,000 users. Notice that there is a [...]

]]> http://ebiquity.umbc.edu/blogger/2007/04/19/twitter-social-network-analysis/comment-page-1/#comment-26801 Color + Design Blog / Communicating Through Color: Infographics by COLOURlovers Wed, 08 Oct 2008 17:35:47 +0000 http://ebiquity.umbc.edu/blogger/?p=1137#comment-26801 [...] Java, from ebiquity group, used the Large Graph Layout (LGL) tool to visualize a large social network on Twitter. The top graph shown here was built using contacts from about 25,000 users. Notice that there is a [...] [...] Java, from ebiquity group, used the Large Graph Layout (LGL) tool to visualize a large social network on Twitter. The top graph shown here was built using contacts from about 25,000 users. Notice that there is a [...]

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