Have a personal or library account? Click to login
Academic Collaboration via Resource Contributions: An Egocentric Dataset Cover

Academic Collaboration via Resource Contributions: An Egocentric Dataset

Open Access
|Jun 2020

References

  1. Bojanowski, M. and Czerniawska, D. 2020. Reaching for unique resources: Structural holes and specialization in scientific collaboration networks. Journal of Social Structure. Forthcoming. Preprint available on-line, available at: http://recon.icm.edu.pl/wp-content/uploads/2019/05/exchange_networks.pdf.
  2. Coleman, J. S. 1994. Foundations of Social Theory, Harvard University Press, Cambridge, MA.
  3. Czerniawska, D. 2018. Sieci współpracy i wymiany w centrach i na peryferiach. Przypadek polskiej nauki (PhD thesis). University of Warsaw, Warsaw, Poland.
  4. Czerniawska, D., Fenrich, W. and Bojanowski, M. 2018. Actors, relations, and networks: Scholarly collaboration beyond bibliometric measures. Polish Sociological Review, 202: 167–185.
  5. Krivitsky, P. N. and Morris, M. 2017. Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US. The Annals of Applied Statistics, 11(1): 427–455.
  6. Krivitsky, P. N., Koehly, L. M. and Marcum, C. S. 2019. Exponential-family random graph models for multi-layer networks. SocArXiv, available at: https://doi.org/10.31235/osf.io/dqe9b (accessed August 14, 2019).
  7. Kwiek, M. 2018. Changing European Academics: A Comparative Study of Social Stratification, Work Patterns and Research Productivity. Routledge, London.
  8. Kwiek, M. and Szadkowski, K. 2018. Higher education systems and institutions, Poland. In Teixeira, P., Shin, J. C., Amaral, A., Bernasconi, A., Magalhaes, A., Kehm, B. M. and Nokkala, T. (Eds), Encyclopedia of International Higher Education Systems and Institutions, Springer, pp. 1–10, available at: https://doi.org/10.1007/978-94-017-9553-1_375-1.
  9. Laudel, G. 2001. Collaboration, creativity and rewards: why and how scientists collaborate. International Journal of Technology Management, 22(7–8): 762–781.
  10. Lewis, J. M., Ross, S. and Holden, T. 2012. The how and why of academic collaboration: disciplinary differences and policy implications. Higher Education, 64(5): 693–708.
  11. Leydesdorff, L., Wagner, C., Park, H. W. and Adams, J. 2013. International collaboration in science: the global map and the network, available at: http://arxiv.org/abs/1301.0801 (accessed August 10, 2019).
  12. Moody, J. 2004. The structure of a social science collaboration network: disciplinary cohesion from 1963 to 1999. American Sociological Review, 69(2): 213–238.
  13. OECD. 2019. OECD science, technology and R&D statistics: main science and technology indicators, available at: https://data.oecd.org (accessed August 10, 2019).
  14. Qin, J., Lancaster, F. W. and Allen, B. 1997. Types and levels of collaboration in interdisciplinary research in the sciences. Journal of the American Society for Information Science, 48(10): 893–916.
DOI: https://doi.org/10.21307/connections-2019.010 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 25 - 30
Published on: Jun 17, 2020
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Michał Bojanowski, Dominika Czerniawska, Wojciech Fenrich, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.