XII.3 Excellence Networks

Moritz Stefaner

Lutz Bornmann

Rüdiger Mutz

Felix Moya Anegon

While it may be simple to estimate which research institutions are at the top of their game, creating a statistical model to objectively measure and map this is no small feat. Lutz Bornmann, a sociologist of science at the Max Planck Society, Rüdiger Mutz, a Swiss researcher in social psychology and higher education, Moritz Stefaner, an independent data visualization expert, and Félix De Moya Anegon, senior researcher at SCImago (a well-known research group dedicated to information analysis), took up the challenge and created Excellence Networks.

The web application shows how universities and research institutions collaborate. Institutions in the SCImago Institutions Rankings were categorized by subject area. Each institution was then mapped in relation to its collaborators. Co-authorship networks show how successfully (in terms of citations) an institution has collaborated compared to others within a subject area, and with which other institutions a specific institution has collaborated most successfully.

Pick a subject area and see which institutions publish collaboratively and who they work with. When they collaborate, do they produce high impact papers? Do they collaborate locally or are their major collaborators on other continents?

Visit Excellence Networks online at http://excellence­-networks.net.


References:

Bornmann, Lutz, Moritz Stefaner, Félix de Moya Anegón, and Rüdiger Mutz. 2016. “Excellence in Science: A Web-Based Application Based on Bayesian Multilevel Logistic Regression (BMLR) for the Identification of Institutions Collaborating Successfully.” Journal of Informetrics 10 (1): 312-327. Accessed November 28, 2016. http://arxiv.org/abs/1508.03950.

Bornmann, Lutz, Rüdiger Mutz, Moritz Stefaner, and Félix de Moya Anegón. 2016. Excellence Networks Home Page. Accessed November 28, 2016. http://www.excellence-networks.net.

Stefaner, Moritz. 2016. “Excellence Networks: Visualizing Scientific Collaboration.” Truth and Beauty Operations. Accessed November 28, 2016. http://truth-and-beauty.net/projects/mpg-excellence-networks.

Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.