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Scientific teams: Self-assembly, fluidness, and interdependence

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Scientific teams: Self-assembly, fluidness, and interdependence. / Wang, Jian; Hicks, Diana.
In: Journal of Informetrics, Vol. 9, No. 1, 01.01.2015, p. 197-207.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Wang, J & Hicks, D 2015, 'Scientific teams: Self-assembly, fluidness, and interdependence', Journal of Informetrics, vol. 9, no. 1, pp. 197-207. https://doi.org/10.1016/j.joi.2014.12.006

APA

Wang, J., & Hicks, D. (2015). Scientific teams: Self-assembly, fluidness, and interdependence. Journal of Informetrics, 9(1), 197-207. https://doi.org/10.1016/j.joi.2014.12.006

Vancouver

Wang J, Hicks D. Scientific teams: Self-assembly, fluidness, and interdependence. Journal of Informetrics. 2015 Jan 1;9(1):197-207. doi: 10.1016/j.joi.2014.12.006

Author

Wang, Jian ; Hicks, Diana. / Scientific teams : Self-assembly, fluidness, and interdependence. In: Journal of Informetrics. 2015 ; Vol. 9, No. 1. pp. 197-207.

Bibtex

@article{8fd729e60c9f4328bcdc83ad7b363383,
title = "Scientific teams: Self-assembly, fluidness, and interdependence",
abstract = "Science is increasingly produced in collaborative teams, but collaborative teams in science are self-assembled and fluid. Such characteristics call for a network approach to account for external activities responsible for team product but taking place beyond closed team boundaries in the open network. Given such characteristics of collaborative teams in science, we empirically test the interdependence between collaborative teams in the same network. Specifically, using fixed effects Poisson models and panel data of 1310 American scientists' life-time publication histories, we demonstrate knowledge spillovers from new collaborators to other teams not involving these new collaborators. Our findings have important implications for studying the organization of science.",
keywords = "Organization of science, Research collaboration, Social networks, Team science",
author = "Jian Wang and Diana Hicks",
year = "2015",
month = jan,
day = "1",
doi = "10.1016/j.joi.2014.12.006",
language = "English",
volume = "9",
pages = "197--207",
journal = "Journal of Informetrics",
issn = "1751-1577",
publisher = "Elsevier BV",
number = "1",

}

RIS

TY - JOUR

T1 - Scientific teams

T2 - Self-assembly, fluidness, and interdependence

AU - Wang, Jian

AU - Hicks, Diana

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Science is increasingly produced in collaborative teams, but collaborative teams in science are self-assembled and fluid. Such characteristics call for a network approach to account for external activities responsible for team product but taking place beyond closed team boundaries in the open network. Given such characteristics of collaborative teams in science, we empirically test the interdependence between collaborative teams in the same network. Specifically, using fixed effects Poisson models and panel data of 1310 American scientists' life-time publication histories, we demonstrate knowledge spillovers from new collaborators to other teams not involving these new collaborators. Our findings have important implications for studying the organization of science.

AB - Science is increasingly produced in collaborative teams, but collaborative teams in science are self-assembled and fluid. Such characteristics call for a network approach to account for external activities responsible for team product but taking place beyond closed team boundaries in the open network. Given such characteristics of collaborative teams in science, we empirically test the interdependence between collaborative teams in the same network. Specifically, using fixed effects Poisson models and panel data of 1310 American scientists' life-time publication histories, we demonstrate knowledge spillovers from new collaborators to other teams not involving these new collaborators. Our findings have important implications for studying the organization of science.

KW - Organization of science

KW - Research collaboration

KW - Social networks

KW - Team science

U2 - 10.1016/j.joi.2014.12.006

DO - 10.1016/j.joi.2014.12.006

M3 - Journal article

AN - SCOPUS:84921381589

VL - 9

SP - 197

EP - 207

JO - Journal of Informetrics

JF - Journal of Informetrics

SN - 1751-1577

IS - 1

ER -