Search Trends: Stochastic Programming

I am back to playing with Google trends (see an earlier post which has other search trends).  This time, I checked the search trends for ‘stochastic programming‘.  Here are the results:


Once again, the graph is normalized such that the average search traffic for ‘stochastic programming’ is 1.00.

There is no traffic before October 2006!  I am surprised (and disappointed).  Along with periods of non-activity, there seems to be a decrease in the number of searches until about mid-2008. After this point, it seems fairly stable.

What really surprised me was the region listing. Take a look:

SPsearch_by_CountryThe data is again scaled such that the highest number is represented as 1.0.   Looking at this graph it  is impossible not to wonder how come the searches on ‘stochastic programming’ from the US is much lower than from Iran?

According to Google:

To rank the top regions, cities, or languages, Google Trends first looks at a sample of all Google searches to determine the areas or languages from which we received the most searches for your first term. Then, for those top cities, Google Trends calculates the ratio of searches for your term coming from each city divided by total Google searches coming from the same city.

Looks like among all the searches originating from the US (or, Singapore or Iran), that is an estimate of the fraction of searches that are on ‘stochastic programming’.   We can get a better idea of relative interest in this term across countries from the web traffic statistics of -the official stochastic programming community home page.  (This is also the first link that comes up on a Google search on ‘stochastic programming’ after some ads.) The measurements on are taken since 11 May 2002.

storprog_origin The fraction of visitors to from the US is highest (35.60%).  The second highest is UK, at about 6% and number 10 on the list is Spain (1.8%).  Approximately 1/3 of all visitors to the site (33.10% to be exact) are outside of these top-10 countries, combined all together as “The rest” in the graph.


One Response to Search Trends: Stochastic Programming

  1. Akshay Gupte says:

    I wonder if the same holds true for Stochastic “Optimization”.

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