Visualizing Community Use of Social Media Sites
If you run a social media application you probably want to explore how the community focus of a site evolves over time. This means being able to browse through users, photos, tags, or the more complex structures of your site, such as groups, themes and clusters.
At Digg there is an article from which I quote
Digg is a community of users, and the data produced is real-time information about that community's behavior. As the tools hold a mirror to the community's actions, Rodenbeck says, they may already be influencing the way the community acts, like a biofeedback machine. As the tools become more interactive, this effect is likely to increase and become easier to measure."There's definitely a change in behavior when you make that behavior visible, and you can see it," Rodenbeck says. "If a community can see itself and recognize itself as a community, that's a very powerful thing."
Which demonstrates how data, refined data, tags, and automated analytics are changing media and will continue to redefine how media is measured. Remember what gets measured gets made.
However what I don't see here is anything to do with monetisation. Turning raw data into unique intelligence and being able to act upon that intelligence will be something all companies will be doing before too long. Because raw data = $$$.
Its we call Social Marketing Intelligence and We're all loved up but we're not making any cash. Who will be the first to build a portfolio of next generation marketing communications capability?
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