Communalytic is a computational social science research tool
for studying online communities and discourse.
Analyze text and patterns of relations to pinpoint toxic and anti-social interactions, detect bots, assess posts' sentiments, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors
Visualize 1) two-mode semantic networks, 2) link-sharing networks, and 3) reply/retweet signed-communication networks, where each tie in the network stores toxicity-related scores. (For Twitter networks, each node can also store bot-related scores.)
Communalytic Edu is designed for educators to teach and students to learn about social media data analytics and social network analysis.
Communalytic Pro is designed for the academic research community and is ideal for large-scale research projects. It provides researchers with the resources and infrastructure necessary for conducting independent research in the public interest.
Edu Account Type/Capacity
Edu Data Analytics Modules
Edu Data Sources
Pro Account Type/Capacity
Pro Data Analytics Modules
Pro Data Sources
Case Studies and Tutorials
New to Communalytic? We have prepared a number of videos and text-based tutorials to help you get started.
Social Media Lab’s Computational Social Science (CSS) Bootcamp – Summer 2021 (Video recordings + Slides)
How to Cite:
If you are using Communalytic in an academic publication, please cite us as:
Gruzd, A., & Mai, P. (2021). Communalytic: A Research Tool For Studying Online Communities and Online Discourse. Available at https://Communalytic.com