Analysis and Visualisation of Time Series Data on Networks with Pathpy.
Jürgen Hackl|Ingo Scholtes|Luka V. Petrovic|Vincenzo Perri|Luca Verginer|Christoph Gote
| Anthology ID: | DBLP:conf/www/HacklSPPVG21 |
|---|---|
| Volume: | Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. |
| Year: | 2021 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM / IW3C2 |
| Pages: | 530-532 |
| URL: | https://doi.org/10.1145/3442442.3452052 |
| DOI: | https://doi.org/10.1145/3442442.3452052 |
| DBLP: | conf/www/HacklSPPVG21 |
| BibTeX: |
@inproceedings{hackl-2021-analysis,
author = {J\"{u}rgen Hackl and
Ingo Scholtes and
Luka V. Petrovic and
Vincenzo Perri and
Luca Verginer and
Christoph Gote},
editor = {Jure Leskovec and
Marko Grobelnik and
Marc Najork and
Jie Tang and
Leila Zia},
title = {{Analysis and Visualisation of Time Series Data on Networks with Pathpy}},
booktitle = {{Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021}},
pages = {530--532},
publisher = {ACM / IW3C2},
year = {2021},
url = {https://doi.org/10.1145/3442442.3452052},
doi = {https://doi.org/10.1145/3442442.3452052}
}