Appln Of Graph Theory : How I Found Perfect Gas Station Spot !
“Dude, Where’s My Gas Station?”, I Asked Graph Theory Once
What is this article about? 🔍
Apply Graphs & AI for Business: This article demonstrates how graph theory, AI, and a simulated city model can pinpoint the most profitable locations for a gas station.
Beyond Gas Stations: The same techniques apply to finding optimal locations for various businesses.
Why Read It? 📚
Data-Driven Decisions: Learn how to replace guesswork with calculated analysis for location-based business choices.
Technical Insights: Get a practical overview of graph algorithms ('betweenness centrality'), NetworkX, PyVis, and Neo4j.
Real-World Applications: See how this approach translates to optimizing business strategies.
The Problem ❓
Location is Key: Picking the wrong gas station spot means low visibility, less traffic, and lost profits.
The Solution 💡
Digital City Model: Build a graph representing the city with homes, offices, attractions, and roads.
Graph Algorithm Magic: Apply 'betweenness centrality' to find the busiest intersections (most potential customers).
Why You Can't Miss This ❗️
Unlocking Potential: Discover how data and innovative tech tools can revolutionize your problem-solving in any business.
Let's Go! 🚀
Code Breakdown: Get explanations of the code used to build the city graph, visualize it, and find the best gas station spots.
Closing Thoughts 🌟
The Power of Data: Witness how insights from graphs and AI can transform business decisions. Imagine the applications for any industry!