Chaos Theory is One Model for Infinite Complexity

With enough data, patterns will appear


I've been lecturing lately about the infinite complexity of the Internet and the needle in a haystack search for your fans. I was reminded of chaos theory, when I was friending Jose Alvarado on Facebook.  I met him, while trying to simplify the complexity of the Internet into 15 minutes. Quite a challenge, and even more so in Spanish.

Equally challenging, Jose was the master of ceremonies for the educational track at expoCaguas last week. When I saw some pictures of him on Facebook, I was reminded of my explorations of the chaotic nature of a blizzard from my childhood in Indiana. It was always a race outside after the pass of a big storm.  What treasures lay hidden in the miles of snow around us?  Had the wind conspired with the snow to create instant forts, trenches, sometimes even the rare tunnel? Winter can truly be a wonderland.

Chaos Theory


Chaos theory describes for us the observation that even random generations and mutations tend to form an organization and structure (super-structure) when you have enough data. We have the exact same problem when trying to connect with our fans over the Internet. Given enough data, we should be able to detect patterns that we can use to predict which points of contact to focus our responses within the infinite marketplace.

That means data, and lot's of it. Big data, data that might not be ours, but is easily attainable over the Internet. The more data we can collect, the closer we will come to seeing the super patterns appear. This truly is our only hope of improving our chances. If we are left to guess work, it will pull all down all effectivity, as we iterate through unknown repetitions narrowing down our guesses.

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