Academic careers in Computer Science: continuance and transience of lifetime co-authorships
- 572 Downloads
Scholarly publications reify fruitful collaborations between co-authors. A branch of research in the science studies focuses on analyzing the co-authorship networks of established scientists. Such studies tell us about how their collaborations developed through their careers. This paper updates previous work by reporting a transversal and a longitudinal studies spanning the lifelong careers of a cohort of researchers from the DBLP bibliographic database. We mined 3,860 researchers’ publication records to study the evolution patterns of their co-authorships. Two features of co-authors were considered: (1) their expertise, and (2) the history of their partnerships with the sampled researchers. Our findings reveal the ephemeral nature of most collaborations: 70 % of the new co-authors were only one-shot partners since they did not appear to collaborate on any further publications. Overall, researchers consistently extended their co-authorships (1) by steadily enrolling beginning researchers (i.e., people who had never published before), and (2) by increasingly working with confirmed researchers with whom they already collaborated.
KeywordsCo-authorship networks Research collaboration Research careers Cohort study Transversal study Longitudinal study Partnership ability
This work was supported by the French National Agency for Research (ANR-11-BSH1-0013). We acknowledge the feedback of James Hartley and András Schubert on an earlier version of this article.
- Cole, J. R., & Zuckerman, H. (1984). The productivity puzzle: Persistence and change in patterns of publication of men and women scientists. In M. W. Steinkempt & M. L. Maehr (Eds.), Advances in motivation and achievement (pp. 217–258). Greenwich, Conn.: JAI Press.Google Scholar
- Costas, R., van Leeuwen, T. N., & Bordons, M. (2010). A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact. Journal of the American Society for Information Science and Technology, 61(8), 1564–1581. doi: 10.1002/asi.21348.Google Scholar
- Deng, H., King, I., Lyu, & M. R. (2008). Formal models for expert finding on DBLP bibliography data. In: ICDM’08: Proceedings of the 8th IEEE international conference on data mining (pp. 163–172). IEEE Computer Society. doi: 10.1109/ICDM.2008.29
- Garfield, E. (1996). What is the primordial reference for the phrase ‘Publish or Perish’? The Scientist, 10(12), 11.Google Scholar
- Hall, B. H., Mairesse, J., & Turner, L. (2007). Identifying age, cohort, and period effects in scientific research productivity: Discussion and illustration using simulated and actual data on French physicists. Economics of Innovation and New Technology, 16(2), 159–177. doi: 10.1080/10438590600983010.CrossRefGoogle Scholar
- Huang, J., Zhuang, Z., Li, J., Giles, C. L. (2008). Collaboration over time: Characterizing and modeling network evolution. In: WSDM’08: Proceedings of the international conference on web search and web data mining (pp. 107–116). New York, NY, USA: ACM. doi: 10.1145/1341531.1341548.
- Ioannidis, Y., Maier, D., Abiteboul, S., Buneman, P., Davidson, S., Fox, E., Weikum, G. (2005). Digital library information-technology infrastructures. International Journal on Digital Libraries, 5(4), 266-–274. doi: 10.1007/s00799-004-0094-8
- Lee D., Goh K.-I., Kahng B., Kim D. (2010) Complete trails of coauthorship network evolution. Physical Review E 82(2):026112–1-026112-9. doi: 10.1103/PhysRevE.82.026112.
- Ley, M. (2002). The DBLP computer science bibliography: Evolution, research issues, perspectives. In: Laender, A. H. F., Oliveira, A. L. (eds), SPIRE’02 : Proceedings of the 9th international conference on String Processing and Information Retrieval (Vol. 2476, pp. 1–10). Springer, Berlin. doi: 10.1007/3-540-45735-6_1.
- Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–324.Google Scholar
- Özsu, M.T., Valduriez, P., Abiteboul, S., Kemme, B., Jiménez-Péris, R., Ooi, B.C. (2011). Distributed data management in 2020? ICDE’11 Proceedings of the 27th IEEE International Conference on Data Engineering. doi: 10.1109/icde.2011.5767962.
- Price, D. d. S. (1976). A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science, 27(5), 292–306. doi: 10.1002/asi.4630270505.
- Price, D. d. S, & Gürsey, S. (1975). Studies in scientometrics I: Transience and continuance in scientific authorship. Ciência da Informação, 4(1), 27–40.Google Scholar
- Reitz, F., Hoffmann, O. (2010). An analysis of the evolving coverage of computer science sub-fields in the DBLP digital library. In: Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., Frommholz, I. (eds.), ECDL’10: Proceedings of the 14th European conference on research and advanced technology for digital libraries (Vol. 6273, pp. 216–227). Springer, Berlin. doi: 10.1007/978-3-642-15464-5_23.
- Reitz, F., Hoffmann, O. (2013). Learning from the past: An analysis of person name corrections in the DBLP collection and social network properties of affected entities. In: Özyer T, Rokne J, Wagner G, Reuser A H (eds) The Influence of Technology on Social Network Analysis and Mining (Vol. 6, pp. 427–453). Springer, Berlin. doi: 10.1007/978-3-7091-1346-2_19
- Reuther, P., Walter, B., Ley, M., Weber, A., Klink, S. (2006). Managing the quality of person names in DBLP. In: Gonzalo, J., Thanos, C., Verdejo, M. F., Carrasco, R. C. (eds.), ECDL’06: Proceedings of the 10th European conference on research and advanced technology for digital libraries (Vol. 4172, pp. 508–511). Springer, Berlin. doi: 10.1007/11863878_55.
- Snodgrass, R. T., Abiteboul, S., Cluet, S., Franklin, M. J., Lohman, G. M., Lomet, D. B., et al. (1999). Reminiscences on influential papers. SIGMOD Record, 28(1), 110–114.Google Scholar
- Stvilia, B., Hinnant, C. C., Schindler, K., Worrall, A., Burnett, G., Burnett, K., Kazmer, M. M., Marty, P. F. (2011). Composition of scientific teams and publication productivity at a national science lab. Journal of the American Society for Information Science and Technology, 62(2), 270-283. doi: 10.1002/asi.21464.