Create README.md

README.md

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+### Penalty (Time Penalty)
+- **Purpose**: To reduce the influence of older posts by applying a decay based on how long the content has been on the platform.
+- **Formula**: \( \text{timePenalty} = \frac{1}{1 + \log(\text{daysOnPlatform} + \text{offset})} \)
+  - **Logarithmic Decay**: Older posts (higher `daysOnPlatform`) have smaller penalty values.
+  - **Offset**: Ensures stability and avoids division by zero or undefined log values.
+- **Effect**: 
+  - Recent posts get higher scores.
+  - Older posts are de-emphasized in engagement calculation.
+
+### Normalizing (Reactions Normalization)
+- **Purpose**: To scale raw social reaction values into a standardized range (0–1), enabling comparisons.
+- **Method**: Min-Max Scaling
+  - Formula: \( \text{normalizedReactions} = \frac{\text{value} - \text{min}}{\text{max} - \text{min}} \)
+  - Adjusts all reaction values relative to the minimum and maximum in the dataset.
+- **Effect**:
+  - Converts raw reaction values into a uniform scale.
+  - Ensures different ranges of reactions are treated fairly in further calculations.