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We present an analysis of the temporal evolution of a scientific coauthorship network, the genetic programming network. We find evidence that the network grows according to preferential attachment, with a slightly sublinear rate. We empirically find how a giant component forms and develops, and...
Persistent link: https://www.econbiz.de/10010873302
This paper presents an analysis of the effect of international co-authorship of scientific publications on patenting in wind energy technologies. It is found that the number of scientific publications co-authored by researchers in OECD countries has a positive and very significant impact on the...
Persistent link: https://www.econbiz.de/10011276615
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Persistent link: https://www.econbiz.de/10009396274
In this paper we evaluate the impact of research grants on the amount of collaboration among scientific researchers in Argentina. We find a positive and significant impact of funding on collaboration which is measured in terms of the number of co-authors for publications in peer-reviewed...
Persistent link: https://www.econbiz.de/10010869335
In this paper, we evaluate the impact of research grants on the amount of collaboration, among scientific researchers in Argentina. We find a positive and significant impact of funding on collaboration, which is measured in terms of the number of co-authors for publications in peer-reviewed...
Persistent link: https://www.econbiz.de/10009206037
Using a database of all published articles in economic journals over the last 30 years, we investigate the determinants of scientific co-authorship. We find that, controlling for pair-wise fixed effects and author productivity, a new collaboration emerges faster if the two authors are more...
Persistent link: https://www.econbiz.de/10005051138
Empirical studies such as Goyal, van der Leij and Moraga (2006) or Newman (2004) show that scientific collaboration networks present a highly unequal and hierarchical distribution of links. This implies that some researchers can be much more active and productive than others and, consequently,...
Persistent link: https://www.econbiz.de/10005612444
This paper proposes a framework to analyze the interdisciplinary collaboration in a coauthorship network from a meso perspective using topic modeling: (1) a customized topic model is developed to capture and formalize the interdisciplinary feature; and (2) the two algorithms Diversity Subgraph...
Persistent link: https://www.econbiz.de/10010795094
Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and path-finding algorithms to determine whether productive authors tend to...
Persistent link: https://www.econbiz.de/10010795115