A Minimum Spanning Tree Representation of Anime Similarities
This is an incremental method for anime recommendation or analysis systems.
The authors tackled the problem of representing relationships between Japanese anime by applying a minimum spanning tree based on crew, score histogram, and topic similarities, with results showing it can determine anime similarities and identify significant anime through centrality calculations.
In this work, a new way to represent Japanese animation (anime) is presented. We applied a minimum spanning tree to show the relation between anime. The distance between anime is calculated through three similarity measurements, namely crew, score histogram, and topic similarities. Finally, the centralities are also computed to reveal the most significance anime. The result shows that the minimum spanning tree can be used to determine the similarity anime. Furthermore, by using centralities calculation, we found some anime that are significant to others.