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. 2022 Jan:68:84-96.
doi: 10.1016/j.socnet.2021.04.008. Epub 2021 May 8.

Teammate Invitation Networks: The Roles of Recommender Systems and Prior Collaboration in Team Assembly

Marlon Twyman  1 , Daniel A Newman  2 , Leslie DeChurch  3 , Noshir Contractor  4
Affiliations

Teammate Invitation Networks: The Roles of Recommender Systems and Prior Collaboration in Team Assembly

Marlon Twyman et al. Soc Networks. 2022 Jan.

Abstract

Teammate invitation networks are foundational for team assembly, and recommender systems (similar to dating websites, but for selecting potential teammates) can aid the formation of such networks. This paper extends Hinds, Carley, Krackhardt, and Wholey's (2000) influential model of team member selection by incorporating online recommender systems. Exponential random graph modeling of two samples (overall N = 410; 63 teams; 1,048 invitations) shows the invitation network is predicted by online recommendations, beyond previously-established effects of prior collaboration/familiarity, skills/competence, and homophily. Importantly, online recommendations are less heeded when there is prior collaboration (effect replicates across samples). This study highlights technology-enabled team assembly from a network perspective.

Keywords: exponential random graph models; invitation networks; recommender systems; team assembly; team formation.

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Figures

Figure 1:
Figure 1:
Model of Teammate Invitation Network
Figure 2:
Figure 2:
Online Recommendations × Prior Collaboration predicting Likelihood of Teammate Invitation (H2: Table 5, Model 3)
Figure 3:
Figure 3:
Goodness of Fit plots of model statistics for Model 2.
Figure 4:
Figure 4:
Goodness of Fit plots of model statistics for Model 3.
See this image and copyright information in PMC

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