CIB Mango Tree
A Civic Tech DC Project
About Download & Install Data Preparation Test Library
Post Time Coordination Test See Code for Test on GitHub Magelinski, Thomas and Kathleen Carley. "Detecting Coordinated Behavior in the Twitter Campaign to Reopen America." in Social-Cybersecurity in Times of Crisis and Change Conference, 2020.
Unique Post Username
Unique Post Number
Date
Post Time
Post Content


  1. Set Time Window Length: Start by specifying the desired length of time windows for the 24-hour period (recommended: 30 minutes).
  2. Tally Posts: The test will count the posts made in each time window across your dataset. For example, with a 30-minute window, it will count posts from 12:00 AM to 12:30 AM, 12:30 AM to 1:00 AM, and so on.
  3. Graph Results: Finally, the test will display these frequencies in a csv file and bar chart, with each bar representing a specific time window across the 24-hour period.

Option 1: CSV Output
The test will produce a .csv file that provides the numerical tallies of posts for each given time window in the 24-hour period.

Sample CSV Output

Option 2: Bar Chart
The test will also produce a link to a dashboard that can be run locally in your browser (this dashboard does not involve a connection to the internet). The dashboard will render the 24-hour graph of post frequency.

Sample CSV Output