Understanding memes using co-evolutionary memetic algorithms

This paper introduces a computational approach to understanding memes by applying co-evolutionary memetic algorithms. It treats memes as units of cultural information that evolve and spread through a population, similar to genes in biological evolution. The algorithm identifies and analyzes the key features that make a meme successful, shedding light on the dynamics of meme propagation and evolution in social networks.