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.
This work was supported in part by A*Star SERC grant 072 134 0055.
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© 2011 Springer-Verlag Berlin Heidelberg
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Ventresque, A., Yong, J.T.T., Datta, A. (2011). Impact of Expertise, Social Cohesiveness and Team Repetition for Academic Team Recommendation. In: Datta, A., Shulman, S., Zheng, B., Lin, SD., Sun, A., Lim, EP. (eds) Social Informatics. SocInfo 2011. Lecture Notes in Computer Science, vol 6984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24704-0_33
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DOI: https://doi.org/10.1007/978-3-642-24704-0_33
Publisher Name: Springer, Berlin, Heidelberg
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