Competitive Intelligence Based on Social Networks for Decision Making
Source: Universidad de Sevilla
In previous works a framework has been presented to extract from internet the scientific community interested in a specific topic. The process uses search engines query results and emails address co-occurrences to obtain the invisible colleges and subtopics of a community. This paper presents the use of this technique to implement several competitive intelligence tasks to help in decision making in a research area. In order to show an illustrative purpose, this technique is applied to analyze the social network of participants in several Veille Stratégique Scientifique & Technologique editions.