Analysis and Visualization of Scientific Communities with Information Extracted from the Web

Abstract

The aim of the present work is to represent graphically the structures of a specific area of knowledge, from data extracted from the Web. The recent development of Internet network has facilitated the access to new resources, which has contributed to create new disciplines that try to exploit these resources. The main problems for their use are their location and processing. Through this work we will combine techniques of extraction, analysis and visualization of data, in order to define an architecture to solve the problems of processing resources. We will specifically explore two of the most important structures that define a scientific community, the subjects that generate a greater interest and its social network. As an example of the application of the architecture and the techniques used, we will present a study on the community of the JISBD using data extracted from the Web.