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Contrasting “ashtag” with “ashcloud” Twitter networks with NodeXL
The eruption of Eyjafjallajokull in Iceland has created disruption of air traffic around the world and particularly through Northern Europe. A similar eruption of tweets has followed, focused around a series of hastags including "#ashtag", "#ashcloud", and "#volcano". The #ashtag…
Mapping the Twitter networks of #Chirp with NodeXL
The Twitter Chirp conference attracted tweets from many technology leaders and bloggers. Here is a ranked list of the top most “between” people who tweeted the term “chirp” in the last day. A complete social network map, with edge thickness proportional to the number of network connections (follows, replies, mentions) that link the two participants [...]
Mapping the Twitter networks of #CHI2010 with NodeXL
The CHI 2010 conference is well underway in Atlanta this week and lots of people are tweeting the #CHI2010 hash tag. An updated NodeXL map of the connections among people who use the #CHI2010 tag is below: This is the network map of follows, replies, and mentions relationships among Twitter users who mentioned “CHI2010″ as [...]
Ordering smaller components in a graph – a NodeXL feature tip
From this:to this: in just a few clicks. Many network graphs contain disconnected smaller graphs, called "components", within them. Most layout algorithms do a poor job of managing to group each component in a separate space. Instead, often, components are…
Data provider (spigots) in NodeXL: networks extracted from social media
by chris.corwin - - We have several data import providers (spigots) in NodeXL that query popular sources of social media for information that can be processed into a network graph. User and search term networks from Twitter, YouTube, and flickr…