A dynamic separable network model with actor heterogeneity: An application to global weapons transfers *
A dynamic separable network model with actor heterogeneity: An application to global weapons transfers *
复制标题
具有参与者异质性的动态可分离网络模型:在全球武器转让中的应用*
DOI:
10.1111/rssa.12620
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Kauermann
中科院分区:
文献类型:
--
作者:
Lebacher;Thurner;Kauermann
In this paper, we analyse the network of international major conventional weapons (MCW) transfers from 1950 to 2016, based on data from the Stockholm International Peace Research Institute (SIPRI). The dataset consists of yearly bilateral arms transfers between pairs of countries, which allows us to conceive of the individual relationships as part of an overall trade network. For the analysis, we extend the separable temporal exponential random graph model (STERGM) to account for time-varying effects on both the network level (trade network) and the actor level (country effects). Our investigation enables the identification of potentially differing driving forces that influence the formation of new trade relationships versus the persistence of existing ones. In accordance with political economy models, we expect security- and network-related covariates to be most important for the formation of transfers, whereas repeated transfers should prevalently be determined by the importers’ market size and military spending. Our proposed modelling approach corroborates the hypothesis and quantifies the corresponding effects. Additionally, we subject the time-varying heterogeneity effects to a functional principal component analysis. This analysis serves as an exploratory tool and allows us to identify countries with exceptional increases or decreases in their tendency to import and export weapons.
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影响因子:
1.7
作者:
Koskinen, Johan;Caimo, Alberto;Lomi, Alessandro
通讯作者:
Lomi, Alessandro
DOI:
10.1214/09-aoas313
发表时间:
2010-06-01
期刊:
The annals of applied statistics
影响因子:
--
作者:
Snijders TA;Koskinen J;Schweinberger M
通讯作者:
Schweinberger M
DOI:
--
发表时间:
1992
期刊:
影响因子:
--
作者:
Keith Krause
通讯作者:
Keith Krause
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
John Stuckey
通讯作者:
John Stuckey
影响因子:
64.8
作者:
Jones, JH;Handcock, MS
通讯作者:
Handcock, MS