Cranmer Skyler J, Menninga Elizabeth J, Mucha Peter J
Department of Political Science, The Ohio State University, Columbus, OH 43210; Alexander von Humboldt Fellow, Department of Politics and Public Administration, University of Konstanz, 78457 Konstanz, Germany;
Department of Political Science, University of Iowa, Iowa City, IA 52242;
Proc Natl Acad Sci U S A. 2015 Sep 22;112(38):11812-6. doi: 10.1073/pnas.1509423112. Epub 2015 Sep 3.
Network science has spurred a reexamination of relational phenomena in political science, including the study of international conflict. We introduce a new direction to the study of conflict by showing that the multiplex fractionalization of the international system along three key dimensions is a powerful predictor of the propensity for violent interstate conflict. Even after controlling for well-established conflict indicators, our new measure contributes more to model fit for interstate conflict than all of the previously established measures combined. Moreover, joint democracy plays little, if any, role in predicting system stability, thus challenging perhaps the major empirical finding of the international relations literature. Lastly, the temporal variability of our measure with conflict is consistent with a causal relationship. Our results have real-world policy implications as changes in our fractionalization measure substantially aid the prediction of conflict up to 10 years into the future, allowing it to serve as an early warning sign of international instability.
网络科学促使政治学对关系现象进行重新审视,包括对国际冲突的研究。我们通过表明国际体系在三个关键维度上的多重碎片化是暴力性国家间冲突倾向的有力预测指标,为冲突研究引入了一个新方向。即使在控制了已确立的冲突指标之后,我们的新指标对国家间冲突模型拟合的贡献也超过了之前所有已确立指标的总和。此外,联合民主在预测体系稳定性方面即便有作用也微乎其微,从而对国际关系文献中或许最为主要的实证发现提出了挑战。最后,我们的指标与冲突的时间变异性符合因果关系。我们的结果具有现实世界的政策意义,因为我们的碎片化指标变化在很大程度上有助于预测未来长达10年的冲突,使其能够作为国际不稳定的早期预警信号。