The aim of this paper is to investigate the pattern of collaboration between Iranian researchers in technology policy and management. In this study, as a Scientometrics, 175 Iranian associated papers from 17 Iranian and international journals have been reviewed, which led to drawing and calculation of a number of metrics for the co-authorship network. These metrics include density, clustering coefficient, the community structure in co-authorship networks as the macro indicators, and degrees as well as betweenness centrality index as the micro indicators. The results show that researchers in this area mostly tend to work in small groups and relationship between them are weak. Furthermore, the network can be considered as a scale-free network.
(2013). A Co-Authorship Network Analysis of Iranian Researchers in Technology Policy and Managemen. Journal of Science and Technology Policy, 6(4), 1-17.
MLA
. "A Co-Authorship Network Analysis of Iranian Researchers in Technology Policy and Managemen". Journal of Science and Technology Policy, 6, 4, 2013, 1-17.
HARVARD
(2013). 'A Co-Authorship Network Analysis of Iranian Researchers in Technology Policy and Managemen', Journal of Science and Technology Policy, 6(4), pp. 1-17.
VANCOUVER
A Co-Authorship Network Analysis of Iranian Researchers in Technology Policy and Managemen. Journal of Science and Technology Policy, 2013; 6(4): 1-17.
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