Locating an Astronomy and Astrophysics Publication Set in a Map of the Full Scopus Database

A dataset containing 111,616 documents in astronomy and astrophysics has been created and is being partitioned by several research groups using different algorithms. In this paper, rather than partitioning the dataset directly, we locate the data in a previously created model in which the full Scopus database was partitioned. Given that the other research groups are partitioning the data directly, use of this method will allow comparisons between using local and global data for community detection. In other words, use of this method will allow us to start to answer the question of how much the rest of a large database affects the partitioning of a journal-based set of documents. We find that the astronomy document set, while spread across hundreds of partitions in the Scopus map, is located in only a few regions of the map. Thus, the use of a global map to partition astronomy documents is likely to give very similar results to partitioning using local approaches because of the insularity of the field of astronomy. However, we do not expect local and global data to give as similar results for other fields, because most other fields are less insular than astronomy. Conference Topic Methods and techniques