World War III - International signed relations network
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近段时间社交平台涌现,各单位之间的关系可以分为正向、负向或无关系。这些单位可以是个人、国家或其他构成签名网络的基本结构组成部分。这些带符号的网络描绘了这样形成的图的动态特征,只允许很少的符号组合,从而带来结构平衡定理。结构平衡理论确认签名社交网络倾向于组织以避免冲突情况,对应于不稳定关系的循环。网络中结构平衡的目的是找到适当的节点划分,以保证系统中的平衡,只允许在图中只允许少数带符号边的组合三角形。该网络领域的大部分工作要么解释了有符号图的重要性,要么应用了平衡定理并试图解决问题。随着近来各国争相争优、争强好胜的时代趋势,第三次世界大战(World War-III)可能发生的疑虑浮现在每个人的脑海中。尽管如此,我们的论文旨在回答有关第三次世界大战的一些有趣问题。在这个项目中,我们创建了一个签名图,将第三次世界大战的参与国描绘为节点,并预测了战争期间将形成的最佳国家联盟。此外,我们直观地描绘了将在这场战争中形成的社区数量以及每个社区的参与国。
In recent years, social platforms have proliferated, and the relationships between entities can be categorized as positive, negative, or neutral. These entities can be individuals, nations, or other basic structural components that form signed networks. These signed networks depict the dynamic characteristics of the resulting graphs, with only a limited set of sign combinations allowed, which gives rise to the structural balance theorem. The structural balance theory posits that signed social networks tend to organize themselves to avoid conflictual situations, specifically cycles corresponding to unbalanced relationships. The goal of achieving structural balance in a network is to identify appropriate node partitions to ensure system balance, while only allowing a small number of signed edge combination triangles in the graph. Most existing work in the signed graph field either explains the significance of signed graphs or applies the balance theorem to attempt to solve related problems. Against the recent global trend of nations competing for dominance and superiority, doubts about the potential outbreak of World War III have emerged in the minds of people worldwide. Nonetheless, this paper aims to address several intriguing questions related to World War III. In this project, we constructed a signed graph that depicts participating nations in World War III as nodes, and predicted the optimal national alliances that would form during the war. Additionally, we visually illustrated the number of communities that would form in this war and the participating nations within each community.
提供机构:
OpenDataLab
创建时间:
2022-09-01
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集基于有符号社交网络理论,分析第三次世界大战的国际关系,将参与国作为节点来预测战争期间的最佳国家联盟和社区结构。它源自2021年印度理工学院的相关研究论文,旨在探讨冲突中的网络动态和平衡。
以上内容由遇见数据集搜集并总结生成



