2016
DOI: 10.1371/journal.pone.0154575
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Spatial Dynamics of the Communities and the Role of Major Countries in the International Rare Earths Trade: A Complex Network Analysis

Abstract: Rare earths (RE) are critical materials in many high-technology products. Due to the uneven distribution and important functions for industrial development, most countries import RE from a handful of suppliers that are rich in RE, such as China. However, because of the rapid growth of RE exploitation and pollution of the mining and production process, some of the main suppliers have gradually tended to reduce the RE production and exports. Especially in the last decade, international RE trade has been changing… Show more

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Cited by 25 publications
(21 citation statements)
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“…By the end of the twentieth century, complex network theory had developed rapidly with the propositions of the BA network[ 32 ] and SW network[ 33 ]. Since its essence was consistent with social networks, complex network theory was brought into many socio-economic fields such as viral transmission network[ 34 , 35 , 36 , 37 , 38 ], social relation network[ 39 ], and international trade network[ 40 ]. We built a complex network when analyzing the five national agglomerations, where cities are represented as nodes and the migration population between cities is represented as edges, whose directions denote the population flows and whose weights denote the population size.…”
Section: Methodsmentioning
confidence: 99%
“…By the end of the twentieth century, complex network theory had developed rapidly with the propositions of the BA network[ 32 ] and SW network[ 33 ]. Since its essence was consistent with social networks, complex network theory was brought into many socio-economic fields such as viral transmission network[ 34 , 35 , 36 , 37 , 38 ], social relation network[ 39 ], and international trade network[ 40 ]. We built a complex network when analyzing the five national agglomerations, where cities are represented as nodes and the migration population between cities is represented as edges, whose directions denote the population flows and whose weights denote the population size.…”
Section: Methodsmentioning
confidence: 99%
“…The iteration of the two stages continues until the network is stable. Finally, the maximum modularity is achieved [45,46].…”
Section: International Investment Network Analysismentioning
confidence: 99%
“…Complex network analysis is a method commonly used to investigate the characteristics of global trade networks for various commodities such as petroleum, rare earths, and iron ore (Ji, Zhang, and Fan 2014;Wang et al 2016;Hao et al 2018). Many studies focused on the roles of countries or areas in the network, using indicators for properties of individual countries such as unweighted and weighted degree, clustering coefficient (Hao et al 2018), centrality (Ge et al 2016), and competitiveness (Chen et al 2016).…”
Section: Introductionmentioning
confidence: 99%