Name
Abstract | ||
|---|---|---|
For several decades, academics around the world have been collaborating with the view to support the development of their research domain. Having said that, the majority of scientific and technological policies try to encourage the creation of strong inter-related research groups in order to improve the efficiency of research outcomes and subsequently research funding allocation. In this paper, we attempt to highlight and thus, to demonstrate how these collaborative networks are developing in practice. To achieve this, we have developed an automated tool for extracting data about joint article publications and analyzing them from the perspective of social network analysis. In this case study, we have limited data from works published in 2010 by England academic and research institutions. The outcomes of this work can help policy makers in realising the current status of research collaborative networks in England. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/INCoS.2011.49 | INCoS |
Keywords | Field | DocType |
research funding allocation,collaborative network,strong inter-related research group,limited data,research domain,research collaborative network,exploratory social network analysis,research institution,research outcome,academic research networks,case study,automated tool,bibliometrics,social network analysis,collaboration,correlation,groupware | Computer science,Collaborative software,Social network analysis,Knowledge management,Funding allocation,Bibliometrics | Conference |
ISBN | Citations | PageRank |
978-1-4577-1908-0 | 7 | 0.73 |
References | Authors | |
13 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio L. Toral Marín | 1 | 167 | 18.81 |
| Bessis, N. | 2 | 806 | 88.01 |
| M. R. Martinez-Torres | 3 | 64 | 5.43 |
| Florian Franc | 4 | 7 | 0.73 |
| Federico Barrero | 5 | 444 | 42.44 |
| Fatos Xhafa | 6 | 3433 | 343.33 |