Retrieval systems are often shaped as lists organized in pages. However, the majority of users look at the first page ignoring the other ones. This presentation concerns an alterna- tive way to present the results of a query using network visualizations.
 The presentation includes a case study that concerns a school of management. Its whole publications are arranged in a network visualization according to their lexical proximity, based on a technique called Term Frequency – Inverse Document Frequency (TF-IDF). These terms are further used to fill the space between the network nodes, creating a sort of semantic background. The case study shows pros and cons of such visual representa- tion through practical examples of term extraction and visualization interaction.