csc110-project

COVID-19 Twitter Posting Frequency and Popularity Insights

https://github.com/hykilpikonna/csc110-project

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

COVID-19 Twitter Posting Frequency and Popularity Insights

Basic Info
  • Host: GitHub
  • Owner: hykilpikonna
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage: https://csc110.hydev.org/
  • Size: 21.1 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 4 years ago
Metadata Files
Readme License Citation

README.md

CSC110-Project

Our final project for CSC110! This is a study on the frequency and popularity of COVID-19-related discussions on Twitter. Full paper hosted on https://csc110.hydev.org.

Owner

  • Name: Azalea
  • Login: hykilpikonna
  • Kind: user
  • Location: 永遠亭 / Eientei
  • Company: @HyDevelop

"Do you ever see in your dreams all the castles in the sky?"

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Gui
    given-names: Azalea
    orcid: https://orcid.org/0000-0002-6141-5926
  - family-names: Lin
    given-names: Peter
title: "COVID-19 Twitter Posting Frequency and Popularity Insights"
version: 1.0.0
doi: TODO
date-released: TODO

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