Abstract
The bibliometric networks as representations of complex systems provide great information that allow discovering different aspects of the behavior and interaction between the participants of the network. In this contribution we have built a fairly large bibliometric network based on data from Spanish doctoral theses. Specifically, we have used the data of each theses defense committee to build the network with its members and we have conducted a study to discover how the nodes of this network interact, to know which are the most representative and how they are grouped within communities according to their participation in theses defense committee.
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The authors would like to acknowledge FEDER fund under grant TIN2016-75850-R.
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Duarte-Martínez, V., López-Herrera, A.G., Cobo, M.J. (2018). Constructing Bibliometric Networks from Spanish Doctoral Theses. In: Yin, H., Camacho, D., Novais, P., Tallón-Ballesteros, A. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2018. IDEAL 2018. Lecture Notes in Computer Science(), vol 11315. Springer, Cham. https://doi.org/10.1007/978-3-030-03496-2_15
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