A set of memes were extracted from a knowledge-exchange chain experiment to investigate the communication and exchange of information in physics classes. Meme change patterns were analysed using two approaches. First, meme similarity matrix was created using a similarity measure, a Võhandu maximum correlation path/tree (similar to a minimum spanning tree approach on an inverted scale) was computed, the tree was partitioned using Võhandu partitioning rules. Second, a monotone systems minus technique algorithm was used to reorder memes and to partition the ordering. The two approaches gave roughly similar partitioning of memes into possible memeplexes.