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

Xavi Canaleta, Pablo Ros, Alex Vallejo, David Vernet, Agustín Zaballos

Research output: Book chapterConference contributionpeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
PublisherIOS Press
Number of pages10
ISBN (Print)9781586039257
Publication statusPublished - 2008

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


  • Social networks
  • affinity
  • web crawling
  • web mining


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