An Analysis of the Microsoft Academic Graph

• Published in: D-Lib magazine Vol. 22; no. 9/10; p. 1
• Main Authors: Herrmannova, Drahomira, Knoth, Petr
• Format: Journal Article
• Language: English
• Published: Reston Corporation for National Research Initiatives 01.09.2016
• Subjects: Citation analysis; Data mining; Data processing; Datasets; Scholarly communication; Scholarly publishing

Analyses the Microsoft Academic Graph (MAG), a heterogeneous graph comprised of over 120 million publication entities and related authors, institutions, venues and fields of study that is also the largest publicly available dataset of citation data. Studies the characteristics of the dataset and pro...