Regional Influence Analysis Dashboard

 

⚠️ Key Risk

China's influence projected to peak at 9.0 by 2027, creating largest gap with US since Cold War

📊 Trend

US influence recovering from 2025 low, driven by alliance strengthening and military modernization

🎯 Critical Point

Taiwan's 2026 dip represents peak vulnerability period in gray zone competition

Last updated: May 26, 2025 | Confidence interval: ±0.5 points | Next review: August 2025

Strengths by Nation (2027)

• US: Tech innovation, Alliance network
• China: Economic influence, Information warfare
• Japan: Tech capability, Economic stability
• Taiwan: Tech innovation, Strategic position

Key Vulnerabilities

• US: Domestic political constraints
• China: Alliance isolation, Economic headwinds
• Japan: Constitutional limitations
• Taiwan: Diplomatic isolation, Size constraints

Model Assumptions

• • No major military conflicts
• • Continued economic integration
• • Stable domestic politics
• • Current alliance structures maintained

Uncertainty Factors

• • Economic crisis scenarios
• • Leadership changes
• • Technological breakthroughs
• • Natural disasters/pandemics

Data Sources: Defense spending (SIPRI), Economic indicators (IMF/World Bank), Diplomatic networks (UN voting patterns), Military capabilities (IISS Military Balance), Technology indices (Global Innovation Index). Model validation based on historical correlation analysis (2015-2024).

Last updated: May 26, 2025 | Confidence interval: ±0.5 points | Next review: August 2025

        

φ₁ (United States)

High stability field with cooperative tendencies towards international actors. Exhibits strong field coherence and particle attraction.

φ₂ (China)

Robust stability with competitive dynamics. Shows strong field strength and selective particle interactions based on strategic interests.

φ₃ (Taiwan)

Medium stability with high susceptibility to external field fluctuations. Generates instability bubbles under stress conditions.

φ₄ (International)

Variable stability influenced by major power dynamics. Responds to both cooperative and competitive field interactions.

Simulation Theory: This model applies quantum field theory concepts to geopolitical dynamics. Particles represent policy decisions, trade flows, and diplomatic interactions. Field strength correlates with national power and stability. Vacuum bubbles indicate regional instability, while cooperation fields show positive-sum interactions. Different scenarios modify field parameters to simulate real-world conditions and their effects on international relations.

Regional Influence Analysis Dashboard

A comprehensive geopolitical analysis tool for tracking and predicting national influence patterns in the China-US competition within the First Island Chain region (2025-2027).

🎯 Overview

This interactive dashboard provides quantitative analysis of regional influence dynamics between major powers in the East Asian strategic theater. Using a multi-dimensional analytical framework, it tracks influence trajectories for six key actors: United States, China, Taiwan, Japan, Philippines, and South Korea.     GitHub Link : https://github.com/fullyloaded/

Key Features

• Multi-perspective Analysis: Four integrated views (Overview, Trends, Breakdown, Methodology)
• Interactive Visualizations: Bar charts, line graphs, and radar charts with hover tooltips
• Uncertainty Quantification: Confidence intervals and prediction ranges
• Real-time Insights: Dynamic risk alerts and trend identification
• Methodological Transparency: Detailed framework documentation and data sources

📊 Dashboard Components

1. Overview Tab

• Overall Influence Projection: Comparative bar chart showing all nations across 2025-2027
• Key Insights Cards: Risk alerts, trend summaries, and critical inflection points
• Interactive Tooltips: Uncertainty ranges and detailed breakdowns

2. Trends Tab

• Trajectory Analysis: Line chart visualization of influence evolution
• Comparative Dynamics: Side-by-side trend comparison
• Pattern Recognition: Identification of consistent vs. volatile patterns

3. Breakdown Tab

• Multi-dimensional Radar: Six-factor analysis (Military, Economic, Diplomatic, Tech, Alliances, Information)
• Strengths & Vulnerabilities: Nation-specific capability assessment
• Strategic Positioning: Relative advantage analysis

4. Methodology Tab

• Analytical Framework: Weighted indicator system documentation
• Model Assumptions: Core premises and limitations
• Data Sources: Academic and institutional references
• Uncertainty Factors: Risk variables and validation metrics

🔬 Analytical Framework

Influence Calculation Model

The influence score (0-10 scale) is calculated using a weighted composite index:

Influence Score = Σ(Wi × Ni)

Where:

• Wi = Weight for dimension i
• Ni = Normalized score for dimension i

Weighting System

Dimension
Weight
Key Indicators
Economic Power
30%
GDP, Trade volume, Investment flows
Military Capability
25%
Defense spending, Naval assets, Force projection
Diplomatic Network
20%
Alliance strength, UN voting, Bilateral ties
Information/Soft Power
15%
Media influence, Cultural export, Tech standards
Geographic Position
10%
Strategic location, Supply chain control

Data Sources

• Military Data: SIPRI Armed Forces Database, IISS Military Balance
• Economic Indicators: IMF World Economic Outlook, World Bank datasets
• Diplomatic Networks: UN General Assembly voting patterns, bilateral treaty databases
• Technology Metrics: Global Innovation Index, R&D expenditure data
• Geographic Analysis: Strategic location assessments, maritime chokepoint control

🚀 Getting Started

Prerequisites

• React 18+
• Recharts library
• Tailwind CSS

Installation

1. Clone the repository:

git clone https://github.com/your-repo/regional-influence-dashboard.git
cd regional-influence-dashboard

2. Install dependencies:

npm install

3. Start the development server:

npm start

4. Open http://localhost:3000 to view the dashboard.

Usage

1. Navigation: Use the tab menu to switch between different analytical views
2. Interaction: Hover over charts for detailed tooltips and uncertainty ranges
3. Analysis: Review methodology tab for understanding calculation frameworks
4. Updates: Check footer for last update timestamp and next review schedule

📈 Current Projections (2025-2027)

Major Trends

• China: Consistent upward trajectory (8.0 → 9.0), driven by military modernization and economic leverage
• United States: Recovery pattern (7.0 → 8.0), rebuilding from domestic political constraints
• Taiwan: Volatility cycle (5.0 → 4.5 → 5.5), reflecting gray zone pressure dynamics
• Japan: Gradual strengthening (6.0 → 6.5), alliance-driven capability enhancement

Critical Inflection Points

• 2026: Peak vulnerability period for Taiwan (4.5 influence score)
• 2027: Largest US-China influence gap since Cold War (9.0 vs 8.0)
• Ongoing: Alliance consolidation vs. economic interdependence tensions

⚠️ Limitations and Disclaimers

Model Assumptions

• No major military conflicts in the projection period
• Continued economic integration despite strategic competition
• Stable domestic political systems
• Current alliance structures remain intact

Uncertainty Factors

• Economic Shocks: Financial crises, trade wars, supply chain disruptions
• Political Changes: Leadership transitions, regime changes, policy pivots
• Technological Disruptions: Breakthrough innovations, cyber capabilities
• External Events: Natural disasters, pandemics, climate impacts

Confidence Levels

• 2025 Projections: High confidence (±0.3 points)
• 2026 Projections: Medium confidence (±0.5 points)
• 2027 Projections: Lower confidence (±0.7 points)

🔄 Update Schedule

• Monthly Data Refresh: Economic and military indicators
• Quarterly Model Calibration: Weight adjustments and validation
• Semi-annual Strategic Review: Assumption verification and methodology updates
• Annual Framework Revision: Comprehensive model enhancement

🤝 Contributing

We welcome contributions from researchers, analysts, and domain experts:

1. Data Contributions: New indicators, updated statistics, regional insights
2. Methodology Improvements: Enhanced weighting systems, validation techniques
3. Visualization Enhancements: New chart types, interactive features
4. Documentation: Translation, case studies, user guides

Contribution Guidelines

1. Fork the repository
2. Create a feature branch (git checkout -b feature/enhancement)
3. Commit changes with clear descriptions
4. Push to branch (git push origin feature/enhancement)
5. Open a Pull Request with detailed explanation

📚 Academic Usage

Citation Format

Regional Influence Analysis Dashboard (2025). "China-US Competition in the First Island Chain: 
A Quantitative Assessment Framework." Version 1.0.0. Available at: [repository URL]

Research Applications

• Policy Analysis: Strategic planning and scenario development
• Academic Research: International relations and security studies
• Risk Assessment: Corporate and institutional planning
• Educational Tools: Teaching geopolitical dynamics

📞 Contact & Support

• Technical Issues: Create an issue in the GitHub repository
• Academic Inquiries: Contact research team at [academic-contact@example.com]
• Policy Questions: Reach strategic analysis team at [policy-contact@example.com]
• Media Requests: Contact communications at [media-contact@example.com]

📄 License

This project is licensed under the MIT License - see the LICENSE.md file for details.

🙏 Acknowledgments

• Data Providers: SIPRI, IISS, IMF, World Bank, UN Statistics Division
• Academic Partners: Regional security studies institutes and think tanks
• Technical Contributors: Open source visualization and analysis libraries
• Review Board: Subject matter experts in international relations and quantitative analysis

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Disclaimer: This tool is designed for analytical and educational purposes. Projections are based on current data and modeling assumptions, which may not reflect future realities. Users should exercise appropriate caution when using this information for decision-making purposes.

Last Updated: May 26, 2025 | Next Review: August 2025 | Version: 1.0.0