A web-based visualiser for HIP
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
data
js
modules
scripts
README.md
app.R
demo-visualization-shiny.Rproj
screenshot.jpeg
start-demo.sh

README.md

HIPie: HIP Insights Explorer

This is an interactive visualization of the plots in the paper: the endo-exo map, observed and fitted popularity series and video metadata. It has additional visualizations of TED videos and VEVO musicians. Furthermore, it allows users to add and compare their own videos.

x5xIf4vUScI

Citation

The project was introduced in this paper:

Quyu Kong, Marian-Andrei Rizoiu, Siqi Wu, and Lexing Xie. 2018. Will
This Video Go Viral? Explaining and Predicting the Popularity of Youtube
Videos. In WWW ’18 Companion: The 2018 Web Conference Companion,
April 23–27, 2018, Lyon, France. ACM, New York, NY, USA, 4 pages. 
https://doi.org/10.1145/3184558.3186972

How to run HIPie?

A public available version of HIPie is hosted at http://www.hipie.ml. If one wants to run a local version, please follow these steps:

  1. Clone the repo
  2. Fill in the Google developer key in file: scripts/youtube_crawler.py
  3. Install required R packages by running requiredPackages.R
  4. Open the project in Rstudio and it will be detected as a Shiny project
  5. Click Run in Rstudio and the project will start running

License

Both dataset and code are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, a copy of which can be obtained following this link. If you require a different license, please contact us at Marian-Andrei@rizoiu.eu or Lexing.Xie@anu.edu.au.