Showing papers on "Scientific collaboration network published in 2016"
TL;DR: It is demonstrated that using complex network analysis to explore both networks independently and jointly provides a much richer description of the community, and addresses some of the methodological concerns discussed in previous literature regarding the use of coauthorship data to study scientific collaboration.
Abstract: The advent of large data repositories and the necessity of distributed skillsets have led to a need to study the scientific collaboration network emerging around cyber-infrastructure-enabled repositories. To explore the impact of scientific collaboration and large-scale repositories in the field of genomics, we analyze coauthorship patterns in NCBIs big data repository GenBank using trace metadata from coauthorship of traditional publications and coauthorship of datasets. We demonstrate that using complex network analysis to explore both networks independently and jointly provides a much richer description of the community, and addresses some of the methodological concerns discussed in previous literature regarding the use of coauthorship data to study scientific collaboration.
19 citations
TL;DR: BRICS scientific activities are enhanced by their high-technology exports and, to a larger extent, by their international collaboration with G-7 countries which remains, over the period studied, at the core of the BRICS scientific collaboration network.
Abstract: Over the last two decades, emerging countries located outside North America and Europe have reshaped the global economy. These countries are also increasing their share of the world's scientific output. This paper analyzes the evolution of BRICS (Brazil, Russia, India, China and South Africa) and G-7 countries' international scientific collaboration, and compares it with high-technology economic exchanges between 1995---1997 and 2010---2012. Our results show that BRICS scientific activities are enhanced by their high-technology exports and, to a larger extent, by their international collaboration with G-7 countries which remains, over the period studied, at the core of the BRICS scientific collaboration network. However, while high-technology exports made by most BRICS countries to G-7 countries have increased over the studied period, both the intra-BRICS high-technology flows and the intra-BRICS scientific collaboration have remained very weak.
18 citations
01 Jan 2016
TL;DR: It is proved that the node degree distribution of the scientific collaboration network model is a right-skewed power-law like distribution and gets the epidemic threshold of this model by actual data.
Abstract: The master-equation approach is used to describe the dynamic structure property of complex networks. In this paper, we consider the scientific collaboration network model that there are multiple new scientists participant in each time. By master-equation approach, we study the node degree distribution in the scientific collaboration network model with numerical simulations verifying the feasibility of the model. It is proved that the node degree distribution of the model is a right-skewed power-law like distribution. For uncorrelated scientific collaboration network, we get the epidemic threshold of this model by actual data.
1 citations