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?:abstract
  • Forming multidisciplinary teams is a key to carry out complex tasks, which is increasingly the case higher up in the knowledge value chain. In this paper, we study academic teams, by proposing a representation of the information available from various data sources, through (i) competence, (ii) social and (iii) team networks. Each of these projections of the interactions between individuals and concepts have specific characteristics. We then empirically evaluate the impact of these notions on team formation process. The objective is to guide team recommendation systems design. ()
?:appearsInConferenceInstance
?:appearsInConferenceSeries
?:bookTitle
  • SocInfo ()
?:citationCount
  • 4 ()
is ?:cites of
?:cites
?:created
  • 2016-06-24 ()
?:creator
?:doi
  • 10.1007/978-3-642-24704-0_33 ()
?:endingPage
  • 299 ()
?:estimatedCitationCount
  • 4 ()
is ?:hasCitedEntity of
?:hasDiscipline
?:hasURL
?:language
  • en ()
?:publicationDate
  • 2011-10-06 ()
?:publisher
  • Springer, Berlin, Heidelberg ()
?:rank
  • 21698 ()
?:referenceCount
  • 6 ()
?:startingPage
  • 296 ()
?:title
  • Impact of expertise, social cohesiveness and team repetition for academic team recommendation ()
?:type

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