The Enhanced Microsoft Academic Knowledge Graph

The knowledge graph completeness is improved by retrieving and merging information on publications and other entities no longer available in the latest version of <a href="makg.org" target="_blank">MAKG</a>. Furthermore, geographical and collaboration networks details are employed to provide data on authors as well as their annual locations and career nationalities, together with worldwide yearly stocks and flows.

Among others, the dataset also includes: <ol> <li>fields of study (and publications) labelled by their discipline(s); </li> <li>abstracts and linguistic features, i.e., standard language codes, tokens , and types</li> <li>entities’ general information, e.g., date of foundation and type of institutions; and</li> <li>academia related metrics, i.e., h-index. </li> </ol> The resulting dataset maintains all the characteristics of the parent datasets and includes a set of additional subsets and data that can be used for new case studies relating to network analysis, knowledge exchange, linguistics, computational linguistics, and mobility and human migration, among others.