Levy Rivers's Library tagged twinfluence → View Popular

Filter:
All
Annotated

09 Nov 08

How to Improve Your Twinfluence and Twitter Grade

mashable.com/...-twinfluence-and-twitter-grade - Preview

twinfluence twitter grader reputation

Tools that give an indication of the “influence” of a particular user are of use not only for users seeking authoritative users to follow, but for professional users seeking key “influencers” to work with.
The two systems agree on the first factor being measured. Twinfluence’s measure of Reach is the same as Grader’s first two factors - the number of followers you have and the influence of those followers
3 more annotations...
- At this point I can’t say which method I prefer most. Grader has the advantage of presenting a single grade, which makes it easy to see and take in, but I think some of their measures are great (profile completeness?). Twinfluence has some great metrics. I like Social Capital as a measure, but I find the site seems to have a lag that Grader doesn’t.
- So how do you go about increasing your score? Well, the answers are really simple:
  
  • Be Passionate: Think about why you want to network in the first place. What is it that you want more of? Search for like-minded individuals and follow them.
  
  • Share: Provide useful, timely information to your network. Remember, it also appears on the public timeline (unless you protect your posts), which will attract more followers.
  
  • Ask: And you will receive. Post questions, make them relevant of course - not “why is the sky blue?”
  
  • Review: Check your network. Do you have spammers in there or people who aren’t contributing? Take them off your list of follows, unless of course they are your family and friends, in which case get them to read this post.
- So, why would you care about improving your score? You probably shouldn’t apart from the fun factor. But by following the steps above, what you will find yourself with, in a very short space of time, is an amazing network that you can reach out to. People that you can help and that can help you. People that will provide you with a wealth of information and to whom you can pass along great information

intel3.0: Getting a Grip on Twitter Influence

innovationinsight.com/...ng-a-grip-on-twitter-influence - Preview

twinfluence

The primary idea behind it was that simply counting followers was an insufficient way to measure influence via Twitter.
Ideally, we would methodically map out the entire network of Twitter and calculate some rigorous social network analysis metrics like clustering, betweenness, equivalence, etc. to really understand the structure of the Twitterverse and the role any particular Twitterer plays in it.
2 more annotations...
- I also wanted to make certain that the metrics were all transparent and well-defined, and some global trend statistics were collected so everyone could get a better idea of what should be the “baseline” expectation as one’s twitter network grows.
- Twinfluence ranks on Reach (second-order followers), Velocity (how quickly reach is built), Social Capital (average followers’ network size), and Centralization (how much the network relies on a few high-profile followers).

Twinfluence - Twitter Influence Analyzer

twinfluence.com/about.php - Preview

twitter reputation metrics twinfluence centralization

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".
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).
5 more annotations...
- 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)
- Velocity merely averages the number of first- and second-order followers attracted per day since the Twitterer first established their account.
- 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.
- 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.
- 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.