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20 Mar 09
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28 Feb 09
Howard RheingoldI've been playing around with Twitter.com's new social graph functions in their API, and for a quick experiment pulled the network formed by all twitterers with 30,000 or more followers (the "twitterati" elite). When I get a chance to do some more in-depth network analysis, I'll follow up to this post, but here's a quick look at the network. I identified 45 nodes (twitterers) with 30K+ followers, and 458 edges (follower links) among them. The following graph (sociogram- link opens to full size image) shows their connections, with nodes colored relative to each node's betweenness centrality (directed).
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I’ve been playing around with Twitter.com’s new social graph functions in their API, and for a quick experiment pulled the network formed by all twitterers with 30,000 or more followers (the “twitterati” elite). When I get a chance to do some more in-depth network analysis, I’ll follow up to this post, but here’s a quick look at the network. I identified 45 nodes (twitterers) with 30K+ followers, and 458 edges (follower links) among them. The following graph (sociogram- link opens to full size image) shows their connections, with nodes colored relative to each node’s betweenness centrality (directed).
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Betweenness centrality usually connotates control or influence over network resources - which, of course, would be “tweets” in our example.
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Of course, we should look at access too - the following graph colors and ranks each node by its relative closeness centrality which usually indicates relative connectedness and access to network resources. I’d interpret this as showing who in the network is most likely to hear about a given bit of news tweeting its way throughout the network.
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27 Feb 09
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These charts were generated using the wonderful, free yed graphing software.
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