{"repo":"tractorjuice/wardleymap_math_model","free":true,"listed":false,"github":"https://github.com/tractorjuice/wardleymap_math_model","clone":"git clone https://github.com/tractorjuice/wardleymap_math_model.git","description":null,"language":"HTML","stars":33,"topics":["claude"],"license":null,"category":"mcp-servers","readme_excerpt":"Mathematical Models for Wardley Mapping This repository contains research and theoretical frameworks for formalizing Wardley Mapping as a mathematical model. The goal is to transform Wardley Maps from a purely visual and qualitative strategic tool into a quantitative framework that enables computation, simulation, and data-driven strategic decision-making. What is Wardley Mapping? Wardley Mapping, created by Simon Wardley, is a visual technique for mapping business strategy. A Wardley Map plots components on two axes: - Y-axis (Visibility) : How close a component is to the end user - X-axis (Evolution) : How mature/commoditized a component is, from Genesis → Custom → Product → Commodity Components are connected by dependency relationships forming a value chain. The Mathematical Approach This repository explores how to formalize these concepts mathematically. A Wardley Map becomes: $$\\mathcal{M} = (V, E, U, \\nu, \\varepsilon, t)$$ Where: - $V$ = set of components - $E \\subseteq V \\times V$ = directed dependency edges - $U \\subseteq V$ = anchor set (one or more user-need nodes) - $\\nu: V \\to [0,1]$ = visibility function (Y-axis) - $\\varepsilon: V \\to [0,1]$ = evolution function (X-axis) - $t$ = time parameter for dynamics This formalization enables: - Generating maps from data - Validating maps with constraints - Quantifying strategic positions - Simulating evolution over time - Computing decision metrics (differentiation pressure, commodity leverage, dependency risk) Recommende","default_branch":null,"files":null,"tree":[],"storefront":"/r/tractorjuice","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tractorjuice/wardleymap_math_model/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}