3.9 Article

The academic wanderer: structure of collaboration network and relation with research performance

Journal

APPLIED NETWORK SCIENCE
Volume 6, Issue 1, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1007/s41109-021-00369-4

Keywords

Science of science; Academic mobility; Collaboration networks; Ego networks; H-index; Productivity

Funding

  1. SoBigData++
  2. HumaneAI-Net project
  3. European Union [871042, 952026]
  4. ERCIM Alain Bensoussan Fellowship Program

Ask authors/readers for more resources

This study used cognitive models from anthropology to investigate the personal collaboration networks of scientists, finding a correlation between high publication and impact with larger collaboration networks. However, there is a capacity limit effect where higher performance becomes less correlated with larger networks. International academic migrants are better at expanding their networks, while domestic migrants excel at using collaboration for higher impact. High academic mobility does not necessarily lead to better performance or larger collaboration networks.
Thanks to the widespread availability of large-scale datasets on scholarly outputs, science itself has come under the microscope with the aim of capturing a quantitative understanding of its workings. In this study, we leverage well-established cognitive models coming from anthropology in order to characterise the personal network of collaborations between scientists, i.e., the network considered from the standpoint of each individual researcher (referred to as ego network), in terms of the cognitive investment they devote to the different collaborations. Building upon these models, we study the interplay between the structure of academic collaborations, academic performance, and academic mobility at different career stages. We take into account both purely academic mobility (i.e., the number of affiliation changes) and geographical mobility (i.e., physical relocations to different countries). For our investigation, we rely on a dataset comprising the geo-referenced publications of a group of 81,500 authors extracted from Scopus, one of the biggest repositories of academic knowledge. Our main finding is that there is a clear correlation between the structure of co-authorship ego networks and academic performance indices: the more one publishes and the higher their impact, the larger their collaboration network. However, we observe a capacity bound effect, whereby, beyond a certain point, higher performances become increasingly less correlated with large collaboration networks. We also find that international academic migrants are better at growing their networks than researchers that only migrate within the same country, but the latter seem to be better in exploiting their collaboration to achieve higher impact. High academic mobility does not appear to translate into better academic performance or larger collaboration networks. This shows a different finding with respect to related literature, where scientific productivity is seen as directly linked to mobility. Our results show that, when looking at impact of research, this is not necessarily the case.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.9
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available