Analysis and statistics are very important nowadays, especially on internet, to understand what happens behind the numbers.
Site owners always want to be aware of how many people visit their sites, and how many of them click on advertisements which generates a fair amount of money for them. Therefore statistics are crusial and inevitable.
The same applies for YouTube. Since 2005, when it was founded, it improved dinamically and became undoubtedly the most popular and successful video sharing website. YouTube generates enormous traffic on the world wide web, and by 2010 it reached 24 hours of video uploads every single second. For now, YouTube has over a billion users – almost one-third of all people on the Internet – and every day people watch hundreds of millions of hours on YouTube and generate billions of views.
The main purpose of my thesis is to understand how YouTube works „behind the scenes”, learn about its Application Programming Interface, and use it to create a web application, which helps me collect data from YouTube, finally analyze them.