Archive for January 28th, 2008

Social-Network Funnel Effect

The growth of the FB economy has created an unlikely division amongst my online social contacts. I see it is as an social-network funnel effect, where the top funnel represents opted-in spam (friends, emails and newsletters) and the bottom your your close friends (real-life contacts and favorite influencers). While the middle portion usually contains varying degrees of friends, all adding some measurable value.

While sorting through this social-network funnel has become an everyday battle to gleam useful content or information for me. Everyday it seems to get bigger and I am constantly looking to cut the time I spend searching for valuable information. This is where a funnel process helps.

If I could apply an overall funnel or class system to contacts based on their history of providing me with value it would help me to quickly indentify quality. How would this work? I am imagining an engine that aggregates all my social media into one spot.

From there an algorithm based on certain factors including history, real-life relation and inbound links would identify users, contributors, and influencers. These contacts would then be broken down into three buckets. For this blog lets call them levels one (most important) to three(least important). You could either sort these buckets individually or apply another set of algorithms to that content.

The next algorithm would then filter content by text-analysis for certain tags similar to Google Alerts. For instance, I would set socia-media as a tag and anytime a mention from a real friend or favorite blogger used social media online it would sort into a “social-media” bucket.

How are we to process all this content? As we progress into digital citizenry honing our filters to maximize utility across all platforms will become an overriding tool of workplace success. And quickly filtering content value will be the best weapon to have in your arsenal.