Structural balance of alliance and rivalry networks in international relations

IF 0.8 Q4 ROBOTICS
Koji Oishi, Kentaro Sakuwa
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引用次数: 0

Abstract

Does the enemy of my enemy become my friend? A growing body of literature on structural analysis of interstate relationships has tackled this old question from the complex system and network perspective. However, the mechanism of long-term change in the structure of cooperation and enmity has yet to be fully understood. In search for a general explanation for the long-term evolution of interstate structure, we empirically examine the structural balance theory, which predicts that a signed network evolves toward a more “balanced" structure where in many triangular relationships (i.e., triads) two states tend to share a common enemy or three states cooperate with each other. We investigate the network of alliances (positive edges) and rivalries (negative edges) between sovereign states and examine whether its evolution from 1816 to 2009 can be explained by the structural balance theory. We find the consistency with the structural balance theory drastically changes over time. The empirical pattern follows the prediction by the theory before German unification in the nineteenth century and after World War II while being inconsistent in the middle period. This result reveals the impact of the two historical events on the underlying mechanism of network evolution. Moreover, the contrast with previous studies of signed social networks that generally support the structural balance theory indicates that international alliance and rivalry networks can be promising material to study novel mechanisms behind the time evolution of signed networks and complex systems of conflict and cooperation.

国际关系中联盟与竞争网络的结构平衡
敌人的敌人会成为我的朋友吗?越来越多的关于州际关系结构分析的文献从复杂系统和网络的角度解决了这个老问题。然而,合作与敌对结构长期变化的机制尚未得到充分理解。为了寻找州际结构长期演变的一般解释,我们对结构平衡理论进行了实证研究,该理论预测,在许多三角关系(即三合会)中,两个国家倾向于共享一个共同的敌人,或者三个国家相互合作,一个签名网络向一个更“平衡”的结构发展。我们研究了主权国家之间的联盟网络(积极边缘)和竞争网络(消极边缘),并研究了其从1816年到2009年的演变是否可以用结构平衡理论来解释。我们发现结构平衡理论的一致性随着时间的推移而急剧变化。经验模式遵循19世纪德国统一前和二战后理论的预测,而中期则不一致。这一结果揭示了这两个历史事件对网络演化潜在机制的影响。此外,与以往普遍支持结构平衡理论的签名社会网络研究相比,国际联盟和竞争网络可以为研究签名网络和复杂的冲突与合作系统的时间演变背后的新机制提供有希望的材料。
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来源期刊
CiteScore
2.00
自引率
22.20%
发文量
101
期刊介绍: Artificial Life and Robotics is an international journal publishing original technical papers and authoritative state-of-the-art reviews on the development of new technologies concerning artificial life and robotics, especially computer-based simulation and hardware for the twenty-first century. This journal covers a broad multidisciplinary field, including areas such as artificial brain research, artificial intelligence, artificial life, artificial living, artificial mind research, brain science, chaos, cognitive science, complexity, computer graphics, evolutionary computations, fuzzy control, genetic algorithms, innovative computations, intelligent control and modelling, micromachines, micro-robot world cup soccer tournament, mobile vehicles, neural networks, neurocomputers, neurocomputing technologies and applications, robotics, robus virtual engineering, and virtual reality. Hardware-oriented submissions are particularly welcome. Publishing body: International Symposium on Artificial Life and RoboticsEditor-in-Chiei: Hiroshi Tanaka Hatanaka R Apartment 101, Hatanaka 8-7A, Ooaza-Hatanaka, Oita city, Oita, Japan 870-0856 ©International Symposium on Artificial Life and Robotics
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