I am constantly amazed by the energy and momentum around data science. Only a few years ago, I would be met with a blank stare when I told someone I planned on going to grad school for machine learning. Today, there is no need for my “it's like computer science, linear algebra, and statistics had a combined love child” analogy as most people instantly respond with “Oh, like AI!”
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Everything is derivative. Take advantage of that. “New” ideas are the next step in an extensive network of existing people and ideas. If we can get the data and reconstruct the network, we can analyze it and understand where branches of a network have the potential for innovation.
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Have you ever met a homesteader who owns a mansion? Me either. My neighbor, Bill (80), is a homesteader who tries to be as self sufficient as possible. From what I can see, it’s an immensely rewarding and humble existence. Life-satisfaction oozes out of his every pore and, eventually, even enduring the hardships must have become rewarding to him.
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Often times, when we're looking at a mass of data, we're trying to get a sense for relationships within that data. Who is the leader in this social group? What is a common thread between different groups of people? Such relationships can be represented hundreds of ways graphically, but few are as powerful as the classic network diagram.
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