I am new to Wolfram's work, so I am at a disadvantage, but I find the idea interesting.
Seems unlikely that the "viral potential" for a given random web app could be gleaned by perusing the code or that there will soon be technology available to simulate a user. And if you were to reduce the randomness by somehow requiring the code or the app to conform to some standard in order to make it easier to automate the perusal, well we already have a whole SEO industry dedicated to gaming the current automated search technology, don't we?
At some point don't you think it is likely that the social networking application model will be co-opted by market testing enterprises who will design ways to entice lots of people to test software applications while having their physiological reactions captured online. With a record of human reactions directly correlated to a specific application, predictive results from automated searching would then be feasible.
Seems unlikely that the "viral potential" for a given random web app could be gleaned by perusing the code or that there will soon be technology available to simulate a user. And if you were to reduce the randomness by somehow requiring the code or the app to conform to some standard in order to make it easier to automate the perusal, well we already have a whole SEO industry dedicated to gaming the current automated search technology, don't we?
At some point don't you think it is likely that the social networking application model will be co-opted by market testing enterprises who will design ways to entice lots of people to test software applications while having their physiological reactions captured online. With a record of human reactions directly correlated to a specific application, predictive results from automated searching would then be feasible.