👉 Reputation math is a framework for quantifying and analyzing the reputation of entities, such as individuals or organizations, in various contexts, often used in social networks, online platforms, and business environments. It involves modeling reputation as a dynamic, multi-dimensional attribute that evolves based on interactions and feedback from others. Key concepts include reputation scores, which aggregate positive and negative feedback; reputation dynamics, which describe how reputations change over time; and reputation thresholds, which define when an entity's reputation is considered acceptable or unacceptable. By applying mathematical techniques like differential equations, graph theory, and machine learning, reputation math helps predict and manage reputational risks, optimize interactions, and enhance trust and credibility in complex systems.
