ZNBai
commented
1 year ago Progress I have completed functions to store data from information in scopus csv files to Neo4j nodes and edges, and is currently storing all papers from 2022 that have Dutch researchers involved.
Why Scopus? Scopus has very comprehensive paper data, especially its metadata contains details of authors' affiliations, countries and paper keywords (which are not available on other paper search websites)
How? As the number of papers involving Dutch researchers in just one year is 50,000+, the Scopus API does not offer to handle such a large amount of data. Therefore, I use the Scopus Document Search website (which requires academic IPs, such as the UvA VPN). The query string is as follows:
PUBYEAR > 2015 AND PUBYEAR < 2024 AND ( LIMIT-TO ( OA , "all" ) ) AND ( LIMIT-TO ( AFFILCOUNTRY , "Netherlands" ) ) AND ( LIMIT-TO ( PUBSTAGE , "final" ) ) AND ( LIMIT-TO ( PUBYEAR , 2022 ) ) AND ( LIMIT-TO ( LANGUAGE , "English" ) )
Using this statement we can get: papers (in 2022) with researchers working in Dutch institutions among the authors. So the authors in the data we obtain are most Dutch researchers, and researchers from other countries who have collaborated with them.
Neo4j database structure:
- Two types of nodes: Person and Publication;
- One type of relationship: IS_AUTHOR_OF
Person Node properties: scopus_id (string), name (string), affiliation (stirng), country (string), keywords (list), year of published papers (list), subject (list)
Publication Node properties: doi (string), title (string), cited_by (num), year (string), keywords (list), subject (list)
IS_Author relationship properties: author_name (string), title (string), year (string)
At the moment we are using SQLite databases, it is fine for the current amount of data, but in the future the amount of data will become much larger, so I should try graph databases such as Neo4j, which has a higher performance and runs much faster.