Abstract
Systems of teams with overlapping members arise in employment, training, and educational contexts. Team interdependence in these systems can confound analyses that aim to account for both individual and team attributes in studying team formation and performance. This chapter introduces bipartite networks for modeling teams with overlapping members. In these networks, individuals and teams are represented by two different types of nodes with links representing team affiliation. Two methods for analysis of bipartite networks with individual and team attributes are reviewed, exponential random graph models (ERGMs) and correspondence analysis (CA). Examples, discussions, and comparisons are provided for both methods.
This work was conducted while Yoav Bergner was employed with Educational Testing Service.
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Zhu, M., Bergner, Y. (2017). Network Models for Teams with Overlapping Membership. In: von Davier, A., Zhu, M., Kyllonen, P. (eds) Innovative Assessment of Collaboration. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-33261-1_19
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