Analysis and Visualization of the DX Community with Information Extracted from the Web

Abstract

The aim of the present work is the graphical representation of the structures of a specific knowledge area with data extracted from the Web. Recent Internet development has facilitated access to these new resources and has contributed towards the creation of new disciplines which are aimed at taking full advantage of these resources. The main obstacles to this exploitation are their location and processing. This paper defines a generic architecture which solves the problems of processing these resources by combining techniques of extraction, analysis and visualization of data. Specifically in this work we will automatically explore two of the most important structures which define the DX community: the subjects within the community which generate the greatest interest and its social network. Graphical representations are presented to facilitate the analysis of this community.