Analysis of academic productivity based on Complex Networks

R. Álvarez, E. Cahué, J. Clemente-Gallardo (), A. Ferrer, D. Íñiguez, X. Mellado, A. Rivero, G. Ruiz, F. Sanz, E. Serrano, A. Tarancón and Y. Vergara
Additional contact information
R. Álvarez: Universidad de Zaragoza
E. Cahué: Universidad de Zaragoza
J. Clemente-Gallardo: Universidad de Zaragoza
A. Ferrer: Universidad de Zaragoza
D. Íñiguez: Universidad de Zaragoza
X. Mellado: Universidad de Zaragoza
A. Rivero: Universidad de Zaragoza
G. Ruiz: Universidad de Zaragoza
F. Sanz: Universidad de Zaragoza
E. Serrano: Universidad de Zaragoza
A. Tarancón: Universidad de Zaragoza
Y. Vergara: Universidad de Zaragoza

Scientometrics, 2015, vol. 104, issue 3, No 3, 672 pages

Abstract: Abstract We present a new tool, Kampal ( http://kampal.unizar.es ), developed to help to analyze the academic productivity of a research institution from the point of view of Complex Networks. We will focus on two main aspects: paper production and funding by research grants. Thus, we define a network of researchers and define suitable ways of describing their interaction, either by co-publication, project-collaboration, or a combination of both. From the corresponding complex networks, we extract maps which encode in graphical terms the relevant information and numerical parameters which encode the topological properties of the network. Thousands of these maps have been created and allow us to study the similarities and differences of the co-publications and the project-collaboration networks.

Keywords: Academic productivity; Complex systems; Maps (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1627-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:104:y:2015:i:3:d:10.1007_s11192-015-1627-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-015-1627-1

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().