Proceedings:
Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media
Volume
Issue:
Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media
Track:
Demonstration Papers
Downloads:
Abstract:
Network science is moving at a rapid pace. However, mainstream analytic packages often fall behind: it is too difficult to implement new complex algorithms in them or it is hard to make them fast. With Junet, we address this problem by implementing a high-performance network analysis package in a high-level language. It allows users to write concise Julia code with performance on par with analogous C/C++ code and have unparalleled control over memory consumption for working with large networks.
DOI:
10.1609/icwsm.v11i1.14864
ICWSM
Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media