Communalytic is multifunctional, computational social science research tool for studying online communities and online discourse.
Communalytic can perform a wide variety of data-centric tasks such as collecting, processing, analyzing, and visualizing publicly available data from Reddit, Twitter, and CrowdTangle. Besides being a versatile social media data collection tool, Communalytic is also a powerful and feature-rich data analytics platform. It has 4 built-in data analytic modules that can automatically perform the following types of analysis: 1) toxicity analysis, 2) social network analysis, 3) sentiment analysis and 4) Twitter bot detection.
Analyze text and patterns of relations to automatically 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 academic research projects. It provides researchers with the resources and infrastructure necessary for conducting independent research in the public interest.
Case Studies and Tutorials
New to Communalytic? We have prepared a number of videos and text-based tutorials to help you get started.
Toxicity Analysis of a Twitter Thread: Analyzing Replies to President Trump’s Tweet about Contracting the Novel Coronavirus
Studying Anti-Social Behaviour on Reddit with Communalytic
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