Assessing How Team Task Influences Team Assembly Through Network Analysis

Emily Kaven, Ilana Kaven, Diego Gómez-Zará*, Leslie DeChurch, Noshir Contractor

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

What traits make users appealing as potential teammates? How do the traits that users seek out in teammates stay constant and differ as the task changes? Our study explores the social networks and skills involved in teammate selection. We performed a quasi-experimental study to analyze teammate choices for three tasks: launching a start-up, surviving in a jungle, and running an election campaign. We conducted our study in one graduate and two undergraduate classes, where students self-assembled into teams using a team recommender software. We analyzed our results using Exponential Random Graph Models (ERGMs). Our results indicate that (a) among all three tasks, prior relationships were important, while (b) the importance of certain project skills varied across the three task types when choosing potential teammates.

Original languageEnglish (US)
Title of host publicationComplex Networks and Their Applications IX - Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
EditorsRosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages322-334
Number of pages13
ISBN (Print)9783030653507
DOIs
StatePublished - 2021
Event9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020 - Madrid, Spain
Duration: Dec 1 2020Dec 3 2020

Publication series

NameStudies in Computational Intelligence
Volume944
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020
CountrySpain
CityMadrid
Period12/1/2012/3/20

Keywords

  • ERGM
  • Social networks
  • Task type
  • Team formation

ASJC Scopus subject areas

  • Artificial Intelligence

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