The Microsoft Academic Graph is a heterogeneous graph containing scientific publication records, citation relationships between those publications, as well as authors, institutions, journals and conference "venues" and fields of study. This data is available as a set of zipped text files stored in Microsoft Azure blob storage and available via HTTP. The file size is ~37GB.
We encourage researchers working with this data to apply for an Azure for Research Award. Details are available on the Azure for Research award submission process at http://azure4research.com. Please include the hashtag #academicgraph in your submission title for easier tracking.
Please note: in order to emphasize one important technical challenge that is common in web-scale data collection and aggregation, the data released here have undergone only rudimentary processing, for example in areas of author and paper conflation/deduplication. This noisy yet realistic dataset can provide additional avenues for research in the big data arena.
We kindly request that any published research that makes use of this data cites our data paper listed below.
- Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, and Kuansan Wang, An Overview of Microsoft Academic Service (MAS) and Applications, WWW – World Wide Web Consortium (W3C), 18 May 2015.