Using Networks to Visualize Publications

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.

Presented at:
EUROLIB General Assembly, Joint Research Centre of European Commission - Ispra (VA), Italy, 30 May - 1 June 2018
Jun 01 2018

Note: The status of this file is:

 Record created 2018-06-01, last modified 2019-12-05

Download fulltext

Rate this document:

Rate this document:
(Not yet reviewed)