TL;DR
This paper models World War III using signed social networks to predict potential coalitions and community structures among countries based on their relationships.
Contribution
It introduces a novel application of signed network theory to geopolitical analysis, specifically predicting alliances and community formations in a hypothetical WW-III scenario.
Findings
Predicted potential coalitions of countries during WW-III.
Visualized community structures among nations in the conflict.
Identified key countries likely to form alliances.
Abstract
In the recent period of time with a lot of social platforms emerging, the relationships among various units can be framed with respect to either positive, negative or no relation. These units can be individuals, countries or others that form the basic structural component of a signed network. These signed networks picture a dynamic characteristic of the graph so formed allowing only few combinations of signs that brings the structural balance theorem in picture. Structural balance theory affirms that signed social networks tend to be organized so as to avoid conflictual situations, corresponding to cycles of unstable relations. The aim of structural balance in networks is to find proper partitions of nodes that guarantee equilibrium in the system allowing only few combination triangles with signed edges to be permitted in graph. Most of the works in this field of networking have either…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
