How Graph Theory Can Predict Global War Risks: A Quantitative Model

This article presents a graph‑theory based mathematical model that treats nations as nodes and their relationships as weighted edges, using centrality metrics to quantitatively assess and forecast potential war risks, illustrated with a 2024 case study of key global regions and an adjacency matrix.

International RelationsRisk Modelingcentrality metrics

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How Graph Theory Can Predict Global War Risks: A Quantitative Model

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Nov 18, 2020 · Databases

How JanusGraph and Spark GraphX Unlock Value Users in 58 Tribe’s Social Network

This article details how 58 Tribe built a large‑scale graph database with JanusGraph, integrated it with Spark GraphX to compute degree, closeness and betweenness centralities, optimized batch imports, identified cheating and high‑value users, and achieved significant performance gains for social network analysis.

JanusGraphSocial Network AnalysisSpark GraphX

0 likes · 16 min read