You can also check out different words and see what people have associated them with. For example, the word 'technology' gave rise to 'computers', 'sucks', 'nano', 'future' etc. 'Future' led to 'innovation' and 'innovation' led to 'creativity' and so on and so forth.
In July 2007, Gabler came out with some preliminary findings on his blog about what the machine has learnt so far about human associative memory. Interestingly, top 3 most submitted words are ‘sex’, ‘me’ and ‘money’. ‘Go, sex, go! Woo! If this experiment had an scientific credibility, I’d say humans were more horny than narcissistic or greedy’, Gabler said. There are phrase completions (I have -> ‘no idea’), number associations (1984 -> George Orwell) and marketing messages.
However there's one word of caution. This website fails to keep your data private. Anyone can click on your id and see the words that you have fed to the system and thereby can learn a lot about you.
On a serious note, our brain indexes words and keeps them under some kind of neuro file system which is a fairly complex web of associations and the relevance of words are dependent on such associations. Human Brain Cloud thereby can form a good way to analyze the associative memory of human brain. If you have noticed, there is a fair bit of similarity of this phenomenon with the PageRank algorithm of Google, which determines the importance of a webpage depending on the number of websites linking to it.
Nice article and an interesting piece of information! 
