Sistemas de Inteligencia Web basados en Redes Sociales

Social Network Analysis (SNA) is an emerging area, essential in decision making processes. Its capacities to analyze and intervene in a social network can be used to implant surveillance tasks in research centers or technological-based businesses. The aim of this work is to make a proposal to design intelligence web systems based on social networks. The first obstacle to implant these systems is the data gather process. In order to solve this problem, an extracting social networks methodology is presented. The extraction process is carried out by analyzing the search engine results. Queries are based on electronic mails. From the extracted network, its spatial distribution of social relationships, the global thematic impact and the institutional relationships are also analyzed. The social structure of REDES email distribution list is analyzed as an example.