Levy Rivers's personal annotations on this page
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From the perspective of graph theory, a Twitterer's followers would be considered their first-order network, and their "followers count" the same as their "degree".
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Reach is the number of followers a Twitterer has (first-order followers), plus all of their followers (second-order followers). In the diagram above, the reach would be 27 (there are 28 nodes, including the Twitterer)
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Reach is the number of followers a Twitterer has (first-order followers), plus all of their followers (second-order followers). In the diagram above, the reach would be 27 (there are 28 nodes, including the Twitterer).
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Velocity merely averages the number of first- and second-order followers attracted per day since the Twitterer first established their account.
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average first-order network of a Twitterer's followers. It's essentially a measure of how influential are a twitterer's followers. A high value indicates that most of that Twitterer's followers have a lot of followers themselves. Social Capital is scored from "very low" to "very high" relative to other twitterers at your network size.
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The following chart is generated dynamically and shows that as twitterers build their follower network, their social capital tends to start very high, build for a while, then slowly decrease. This is probably because as most people start tweeting, they follow a few high-profile twitterers who may reciprocate. Over time, however, they attract more and more people - and that means more and more people with few followers, including bots, spammers, and silent followers.
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In social network analysis, a high centralization indicates dependency of the network on just a few nodes to maintain the connectivity of the entire network. Twitterers with low centrality networks would not have their reach greatly reduced if a few high-profile people stopped following them. Centralization is scored from "very fragile" to "very resilient" relative to other twitterers at your network size, implying that a network with only a few high-profile followers is very sensitive to collapsing if those followers leave. Conversely, a network with low centralization is not very dependent upon any few followers for its collective reach.
This link has been bookmarked by 12 people . It was first bookmarked on 12 Oct 2008, by Jesus Hoyos.
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rootwoman 123twInfluence is a simple tool using the Twitter API to to measure the combined influence of twitterers and their followers, with a few social network statistics thrown in as bonus.
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From the perspective of graph theory, a Twitterer's followers would be considered their first-order network, and their "followers count" the same as their "degree".
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Reach is the number of followers a Twitterer has (first-order followers), plus all of their followers (second-order followers). In the diagram above, the reach would be 27 (there are 28 nodes, including the Twitterer)
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Nicolas HoizeyImagine Twitterer1, who has 10,000 followers - most of which are bots and inactives with no followers of their own. Now imagine Twitterer2, who only has 10 followers - but each of them has 5,000 followers. Who has the most real "influence?" Twitterer2, of course.
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Michel BauwenstwInfluence is a simple tool using the Twitter API to to measure the combined influence of a Twitterer and his/her followers, with a few social network statistics thrown in as bonus.
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Jesus HoyostwInfluence is a simple tool using the Twitter API to to measure the combined influence of a Twitterer and his/her followers, with a few social network statistics thrown in as bonus.
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Kate SimCalculate the indirect influence of you and your followers on Twitter!
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Michelle A. HoyletwInfluence is a simple tool using the Twitter API to to measure the combined influence of a Twitterer and his/her followers, with a few social network statistics thrown in as bonus.
We know that "A-List" Twitterers like Scoble, LeoLaporte, and BarackOba -
Howard RheingoldtwInfluence is a simple tool using the Twitter API to to measure the combined influence of a Twitterer and his/her followers, with a few social network statistics thrown in as bonus.
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