Open Academic Graph 2019

open_academic_graph_2019 (50 files)
AMiner.png 24.28kB
AMiner_thumb.jpg 2.49kB
__ia_thumb.jpg 4.56kB 1.72GB 2.59GB 2.77GB 2.72GB 12.71GB 11.13GB 10.47GB 7.11GB 1.95MB 26.40MB 8.01GB 4.68GB 2.15GB 12.22GB 11.51GB 5.31GB 1.79MB
open_academic_graph_2019_meta.sqlite 29.70kB
open_academic_graph_2019_meta.xml 2.00kB 845.84MB
urls.txt 1.54kB 218.26kB
Type: Dataset

title= {Open Academic Graph 2019},
journal= {},
author= {},
year= {},
url= {},
abstract= {A copy of the "Open Academic Graph v2" (OAGv2) corpus published by and Microsoft Academic Graph in early 2019.

Contains roughly 90 GB (compressed) of bibliographic metadata for hundreds of millions of publications.

Related publications include:

Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2008). pp.990-998. 

Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New York, NY, USA, 243-246.},
keywords= {},
terms= {},
license= {},
superseded= {}

10 day statistics (6 downloads)

Average Time 5 hrs, 56 mins, 18 secs
Average Speed 4.49MB/s
Best Time 5 mins, 05 secs
Best Speed 314.93MB/s
Worst Time 12 hrs, 47 mins, 19 secs
Worst Speed 2.09MB/s