Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series.
Julia Proskurnia|Przemyslaw A. Grabowicz|Ryota Kobayashi|Carlos Castillo|Philippe Cudré-Mauroux|Karl Aberer
| Anthology ID: | DBLP:conf/www/ProskurniaGK0CA17 |
|---|---|
| Volume: | Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017 |
| Year: | 2017 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 755-764 |
| URL: | https://doi.org/10.1145/3038912.3052705 |
| DOI: | https://doi.org/10.1145/3038912.3052705 |
| DBLP: | conf/www/ProskurniaGK0CA17 |
| BibTeX: |
@inproceedings{proskurnia-2017-predicting,
author = {Julia Proskurnia and
Przemyslaw A. Grabowicz and
Ryota Kobayashi and
Carlos Castillo and
Philippe Cudr\'{e}-Mauroux and
Karl Aberer},
editor = {Rick Barrett and
Rick Cummings and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series}},
booktitle = {{Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017}},
pages = {755--764},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3038912.3052705},
doi = {https://doi.org/10.1145/3038912.3052705}
}