Questions on Ranking Logic and Adaptability of GitHub Readme Stats

[WEIwen628]

1.Basis for the Medians
How were the median values for different activities (e.g., COMMITS_MEDIAN = 250, PRS_MEDIAN = 50) determined? Are they based on a statistical analysis of user behavior, or are they set as general benchmarks for typical activity levels?

2.Weight Distribution for Activities
The system assigns different weights to activities, such as commits and stars (COMMITS_WEIGHT = 2, STARS_WEIGHT = 4). Could you explain the reasoning behind these weight assignments? Why are some activities prioritized over others?

3.Adaptability to Other Fields
I'm exploring the idea of applying a similar ranking system to measure participation and engagement in other areas, like Wikipedia. Do you think this ranking model could be adapted for that? If so, what changes might be needed for a different context, such as Wikipedia’s editing and content creation activities?