Resumen
It is informed that with the emergence of integrated enterprise-wide information systems, the task of systems analysis has become increasingly complex. There is an abundance of information contained not only within an organizations data stores, but also in the schemas and blueprints of the systems themselves. Analysts who must learn how a system operates may face an information overload problem. One way of coping with information overload is to create a grouping structure within the collection of information. Accordingly, complex graphical models representing information systems are often visualized through a grouped, hierarchical structure. It is opined that a visualization technique that could be useful for understanding graphical system models is the fisheye distortion, which shows how high-granularity details are related to their context by combining them within the same diagram. Creating a fisheye view of a diagram involves assigning a "degree of interest" to each object in the space examined. The degree of interest of an object is determined by its original importance and its proximity to the current focus of interest. Proximity can be based on physical distance such as on a geographical map, or a semantic distance such as the time between two events.