Sentinel owl
08-29-2009, 10:50 PM
So here's a nice break from "how do I integrate this" threads. I'm interested on your thoughts on the mathematics of social interactions; that is, to what extent can we accurately model social dynamics? What brought me to ponder this was actually seeing the google trends graph for "michael jackson"
http://media.bestofmicro.com/google-michael-jackson-graph,B-F-215547-13.png
it's a PNG, so not sure if it will show up. Here's the link just in case.
http://media.bestofmicro.com/google-michael-jackson-graph,B-F-215547-13.png
As you can clearly see, the number of queries for MJ follows an almost perfect exponential decay line after its peak. If you took away the axes labels and title, a chemist might think this is a flow-injection graph--it's that precise. So this leads me to ask, "can we predict how society will react and behave in a given situation"? So, if we knew that 20 million people would see ten hours of TV coverage on a certain subject over the next month, could we predict how popular it would be? I bet we can. And in fact, I bet there are people who already do. People who work for large media corporations, record companies, or governments. Imagine this: country X wants to invade country Y, so they calculate how much TV exposure they need of allegations against country Y until a majority of the population would support a war. This isn't totally new, of course; epidemiologists have been successful modeling the spread of disease for a long time now. But the idea that we can model the thought process of millions of people is intriguing.
It's a dangerous path to tread, but it's frightening how predictable humanity can be at times. "Sheeple" is being generous. Thoughts?
http://media.bestofmicro.com/google-michael-jackson-graph,B-F-215547-13.png
it's a PNG, so not sure if it will show up. Here's the link just in case.
http://media.bestofmicro.com/google-michael-jackson-graph,B-F-215547-13.png
As you can clearly see, the number of queries for MJ follows an almost perfect exponential decay line after its peak. If you took away the axes labels and title, a chemist might think this is a flow-injection graph--it's that precise. So this leads me to ask, "can we predict how society will react and behave in a given situation"? So, if we knew that 20 million people would see ten hours of TV coverage on a certain subject over the next month, could we predict how popular it would be? I bet we can. And in fact, I bet there are people who already do. People who work for large media corporations, record companies, or governments. Imagine this: country X wants to invade country Y, so they calculate how much TV exposure they need of allegations against country Y until a majority of the population would support a war. This isn't totally new, of course; epidemiologists have been successful modeling the spread of disease for a long time now. But the idea that we can model the thought process of millions of people is intriguing.
It's a dangerous path to tread, but it's frightening how predictable humanity can be at times. "Sheeple" is being generous. Thoughts?