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  • 标题:COMPETITIVE INTELLIGENCE BASED ON SOCIAL NETWORKS FOR DECISION MAKING
  • 本地全文:下载
  • 作者:Fco Fernando de la Rosa Troyano ; María Teresa Gómez López ; Rafael Martínez Gasca
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2010
  • 卷号:4
  • 期号:4
  • 出版社:SERSC
  • 摘要: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 e- mails address co-occurrences to obtain the invisible colleges and subtopics of a community. This work 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.
  • 关键词:Social networks extraction; competitive intelligence; search engine mining;emails address mining.
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