Student Network Centrality and Academic Performance: Evidence from United Nations University
Ying Zhang, Iman Rajabzadeh & Rodolfo Lauterbach
#2009-034
In this paper we empirically studied the relationship between network
centrality and academic performance among a group of 47 PhD students
from UNU-MERIT institute. We conducted an independent email survey and
relied on social networks theory as well as standard econometric
procedures to analyse the data. We found a significant reversed U-shaped
relation between network centrality and students’ academic performance.
We controlled our results by several node’s characteristics such as age,
academic background, and research area. Additional evidence shows that
there is a negative impact of age on academic performance at PhD student
level. Contributions of this paper can refer to the input into studies
that aim to explore peereffect. Also it contributes to the
methodological approach by combining elements of network analysis and
econometric theories. This study demonstrates that when evaluating the
impact of network centrality on performance, there is no significant
difference between various network centrality measurements.
JEL : D85, I21, I23, L14
Keywords : Networks analysis, Network centrality, Peer-effect, Academic
performance
UNU-MERIT Working Papers
ISSN 1871-9872