An Analysis of the Microsoft Academic Graph

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...

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Bibliographic Details
Published inD-Lib magazine Vol. 22; no. 9/10; p. 1
Main Authors Herrmannova, Drahomira, Knoth, Petr
Format Journal Article
LanguageEnglish
Published Reston Corporation for National Research Initiatives 01.09.2016
Subjects
Citation analysis
Data mining
Data processing
Datasets
Scholarly communication
Scholarly publishing
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Summary: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 provides a correlation analysis with other publicly available research publication datasets. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
Bibliography:Includes illustrations, references, tables
Includes links to related electronic resources
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ISSN:1082-9873
1082-9873
DOI:10.1045/september2016-herrmannova