In short: There are two emerging approaches to using twitter:
Influence on Twitter, as expected, is a matter of perception. The factors are:
Maintaining conversations with followers is time and resource intensive and does not result in additional influence... unless you're a celebrity and EVERY trivial thought is of interest.
Original, Useful, or News-y content is more likely to be retweeted.
Getting quality followers is a tremendous amount of work.
As always, knowing your audience is critical to attract quality folllowers. Twitter spammers have many followers but no influence.
Have something to say and speak the expected manner. More on New Discourse
Balance resources generating new and original content against the opportunity cost of doing so. Accomplish this by using social media to automate as much as possible.
For instance, this site has an RSS feed that is linked to the Greeen Geeks Facebook Page and it, in turn, feeds to Twitter. One post, three means of distribution. This lowers my 'cost of publication'.
Keep in mind that using RSS feeds to replicate your content on multiple websites is ignored by Google. Automation must be smart and approached strategically. Contact us for help.
Enjoy!
Please see the 18 page report link below for deeper analysis, results and graphics.
About The Web Ecology Project
The Web Ecology Project is an interdisciplinary research group based in Boston, Massachusetts focusing on using large scale data mining to analyze the system-wide flows of culture and community online.
In addition to the task of understanding culture on the web through quantitative research and rigorous experimentation, we are attempting to build a science around community management and social media. To that end, we are building tools and conducting research that enable planners to launch data-driven campaigns backed by network science.
For press or research inquiries, please visit our website (http://webecologyproject.org), contact us via email at contact@webecologyproject.org, or call Tim Hwang (CEO) at [973] 960-4955. The Web Ecology Project releases this paper under a Creative Commons Attribution Share-Alike 3.0 license
(http://creativecommons.org/licenses/by-sa/3.0/).
New Approaches for Analyzing Influence on Twitter