A system to extract social networks based on the processing of information obtained from Internet

  • Authors:

  • Xavi Canaleta;Pablo Ros;Alex Vallejo;David Vernet;Agustín Zaballos

  • Affiliations:

  • Grup de Recerca en Sistemes Distribuïts, Enginyeria i Arquitectura La Salle --Universitat Ramon Llull, {xavic,pros}@salle.url.edu;Grup de Recerca en Sistemes Distribuïts, Enginyeria i Arquitectura La Salle --Universitat Ramon Llull, {xavic,pros}@salle.url.edu;Secció de Telemàtica, Enginyeria i Arquitectura La Salle --Universitat Ramon Llull, {avallejo,zaballos}@salle.url.edu;Grup de Recerca en Sistemes Intel·ligents, Enginyeria i Arquitectura La Salle --Universitat Ramon Llull, dave@salle.url.edu;Secció de Telemàtica, Enginyeria i Arquitectura La Salle --Universitat Ramon Llull, {avallejo,zaballos}@salle.url.edu

  • Venue:
  • Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
  • Year:
  • 2008

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Abstract

The amount of information available on Internet increases by the day. This constant growth makes it difficult to distinguish between information which is relevant and which is not, particularly in key areas which are of strategic interest to business and universities or research centres. This article presents an automatic system to extract social networks: a software designed to generate social networks by exploiting information which is already available on Internet through the use of common search engines such as Google or Yahoo. Furthermore, the metrics used to calculate the affinities between different actors in order to confirm the real ties which connect them and the methods to extract the semantic descriptions of each actor are presented. This represents the innovative part of this research.