When we integrate individual cognitive maps using fuzzy logic, the result is a map so complex that visually, it means very little to the human eye. In order to make sense of it, we have to analyze it using several different methods. We can use network analysis to understand properties about the system, such as how it’s shaped, whether there are areas where there is a concentration of relationships, and more. These properties can tell us much about how the system behaves at the macro level. We can also run scenarios as experiments to see how the system may respond or adapt to a specific situation. By changing variables within the system, we can model hypothetical decisions and evaluate how those decisions will be received. There may be other tools to analyze fuzzy cognitive maps, but since the methodology is so new, real-world applications have been limited up to now. We are exploring how to apply different methods, and what the results mean in the context of social systems specifically.