A systematic metadata harvesting workflow for analysing scientific networks.

ABSTRACT: One of the disciplines behind the science of science is the study of scientific networks. This work focuses on scientific networks as a social network having different nodes and connections. Nodes can be represented by authors, articles or journals while connections by citation, co-citation or co-authorship. One of the challenges in creating scientific networks is the lack of publicly available comprehensive data set. It limits the variety of analyses on the same set of nodes of different scientific networks. To supplement such analyses we have worked on publicly available citation metadata from Crossref and OpenCitatons. Using this data a workflow is developed to create scientific networks. Analysis of these networks gives insights into academic research and scholarship. Different techniq

SUBMITTER: Butt BH 

PROVIDER: S-EPMC7959659 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature