Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity

Article Details
Title:	Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity
Article URLs:	https://doi.org/10.1145/3038912.3052650
Alternative Article URLs:	https://arxiv.org/abs/1602.06033
Authors:	Marian-Andrei Rizoiu	Australian National University, Research School of Computer Science CSIRO, Data61
	Lexing Xie	Australian National University, Research School of Computer Science CSIRO, Data61
	Scott Sanner	University of Toronto
	Manuel Cebrián	CSIRO, Data61
	Honglin Yu	Australian National University CSIRO, Data61
	Pascal Van Hentenryck	University of Michigan
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	none
Artifact URLs:	http://hipdemo.ml/ https://github.com/andrei-rizoiu/hip-popularity http://cm.cecs.anu.edu.au/post/expecting_to_be_HIP/
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key:	conf/www/RizoiuXSCYH17
Author Comments:

ACM World Wide Web, WWW 2017