Michael Wu, Ph.D. is Lithium's Principal Scientist of Analytics, digging into the complex dynamics of social interaction and online communities.
He's a regular blogger on the Lithosphere a...
Updated 5 months ago
Version 10.0
Blog Post
Michael -
I'm very much enjoying the first in your series - which focuses on the dialectic of Social Media. I agree with all of your model's components. For me, it raises two elements and a question.
First, I think about translation to the medium. In order for bandwidth and relevance to be effective, the communicator needs to be able to translate their concepts into the channel's available format. A video or a 140 characters in Twitter have very different contextual carrying capacity
Second, the timing also depends on the channel. Twitter only provides the last 5 days of data, but blog posts from 2007 are still driving traffic to my web site. So again, the nature of the medium impacts the factors you've identified ... and different people's communication styles are suited to different media.
Finally, my question is on metrics. You mention analytics at the end, but some good examples of tools that measure such factors as Credibitlity, bandwidth, timing, influence, etc. would be very helpful.
Looking forward to your other posts on this topic!
@skipshoe