Twyman Marlon, Newman Daniel A, DeChurch Leslie, Contractor Noshir
Northwestern University 2240 Campus Drive, Evanston, IL, USA 60208.
University of Illinois at Urbana-Champaign 504 East Armory Ave., Champaign, IL, USA 61820.
Soc Networks. 2022 Jan;68:84-96. doi: 10.1016/j.socnet.2021.04.008. Epub 2021 May 8.
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 = 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.
队友邀请网络是团队组建的基础，推荐系统（类似于约会网站，但用于选择潜在队友）可以帮助形成此类网络。本文通过纳入在线推荐系统，扩展了欣兹、卡利、克拉科夫特和霍利（2000年）有影响力的团队成员选择模型。对两个样本（总计 = 410；63个团队；1048次邀请）进行指数随机图建模表明，除了先前确定的先前合作/熟悉程度、技能/能力和同质性影响外，在线推荐也能预测邀请网络。重要的是，当存在先前合作时，在线推荐的影响力较小（该效应在不同样本中均有重现）。本研究从网络角度突出了技术支持的团队组建。
