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 et al.’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 (this effect replicates across samples). This study highlights technology-enabled team assembly from a network perspective.

Original languageEnglish (US)
Pages (from-to)84-96
Number of pages13
JournalSocial Networks
StatePublished - Jan 2022


  • Exponential random graph models
  • Invitation networks
  • Recommender systems
  • Team assembly
  • Team formation

ASJC Scopus subject areas

  • Anthropology
  • Sociology and Political Science
  • Social Sciences(all)
  • Psychology(all)


Dive into the research topics of 'Teammate invitation networks: The roles of recommender systems and prior collaboration in team assembly'. Together they form a unique fingerprint.

Cite this