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Networks of scientific collaboration in Competitive Intelligence field Eva Ortoll and Montserrat Garcia Alsina KIMO Research group of Universitat Oberta de Catalunya Background Requirements to be an academic discipline (Vanderstraeten, 2010; Kun, 2006): Results Collaboration networks: co-authorship (micro-level analysis) Networks of experts scientific community Common paradigms validity and reliability of empirical studies Specific scientific publications interaction and knowledge flows Development of new research topics How mature is the academic field of Competitive Intelligence? Objectives What are the patterns of scientific collaboration in CI field? In which topics does scientific community work and how do they evolve? Which channels does scientific community use to communicate? Methods Data gathering Collaboration networks: institutional collaboration (meso-level analysis) Authors and groups with low productivity and weak links among them Authors with very few relations among them Isolated teams with low interaction among them Slight increase of interdisciplinary collaboration Weak bridges among institutions Slight increase of inter-institutional collaboration Topics of research Papers from ISI web of Science (1995 – 2012) Keywords 1995-2000 2001-2006 2007-2012 competitive intelligence marketing intelligence economic intelligence intelligence analysis territorial intelligence environmental scanning 679 papers were gathered Progressive connexion among topics Difficulties Data analysis Great variety of descriptors Social networks analysis Increasing synonyms to identify the same area of research Bibliometric analysis Evolution trough tree periods: 1995-2000 First period: technological issues and management Second period technological issues maintain their presence, increase in subtopics about: Open Sources, Economic Intelligence, visualization, data and text mining 2001-2006 2007-2012 Third period: Groups of data: co-authorship collaboration co-words networks topics journal and congress statistics channels to communicate Open Sources and Visualization issues continues, Information Analysis is increasing Channels to communicate: publications and journals Journals Congress Results Few academic journals Few congresses specific to CI (only 2) Lack of descriptors homogenization The interdisciplinary nature of the field makes the consolidation of channels for knowledge interaction difficult Increasing predominance of: Collaboration networks: co-authorship (micro-level analysis) 1995-2000 Conclusions 2007-2012 Weak interconnected scientific community. 2001-2006 Dispersion of topics. Lack of common language. Weak channels of communication. Computer science, Business & Economics Information % library science (except in congress)