Two of the most common main methods of classification are taxonomy (image 1) and folksonomy (image 2). Taxonomy is the more formal hierarchical classification with subsections. Folksonomy is a more abstract system that is crowd-driven and organizes content into categories using metadata such as electronic tags. Taxonomy is a strict path with a direct order to classification one route results in these possibilities. Falksonomy utilizes a more interconnected organization where several components are linked. In order to create a taxonomy the model of a tree or tier system is common. The classifications branch out and have set paths. To create a falksonomy large amounts of data is linked together in any pattern of ways. In the two images above I performed the two different methods listed above. The first image is my taxonomy of the main topics and sub-topics in our class ranked from most interesting to least interesting. The second image is a word-cloud folksonomy of my most frequently used words in our discussions. The two methods yielded quite different classifications for information in my English class. After finished the experiment, I noticed that the folksonomy is a more specific representation of things in the class. Meanwhile the taxonomy displayed the bigger picture rather than the smaller intricate ideas expressed. Personally, I believe both ways are great methods of classification with meaningful details. This experiment has helped me understand why some people would prefer the strict easily understandable taxonomy structure and why others could like the more intense connections in a folksonomy structure.