Tutorials
New to Communalytic?
To help you get started, we have prepared a number of short text and video tutorials for your review bellow.
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
Note: There are two versions of Communalytic. Each version is hosted on its own dedicated server and each has their own separate account creation and sign-in processes.
- Communalytic Edu is designed for educators and students to teach and 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.
Note: The Toxicity Analysis Module in Communalytic can conduct toxicity analysis (via Google Perspective) on text in the following languages – Arabic, Chinese, Czech, Dutch, English, French, German, Hindi, Hinglish, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish.
- Tutorial: Obtaining a Perspective API Key
- Troubleshooting tips for obtaining a Perspective API Key
- The Google account used to obtain a Google Perspective API Key can be different from the Google account you used to create your Communalytic account.
- In some instances, Google might not allow you to create a Google Cloud project with your academic/institutional email. If that is the case, you will need to use a Google account ending with @gmail.com.
- Troubleshooting tips for obtaining a Perspective API Key
- Tutorial: Toxicity Analysis in Communalytic
Note: The Sentiment Analysis Module in Communlaytic can conduct sentiment analysis (via Google Perspective) on text in the following languages – English, French, German.
Note 1: Communalytic can automatically create and visualize a variety of networks including: 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.)
- Tutorial: How to Use Communalytic’s Built-in Network Visualizer
- Case Study: An exploratory network and toxicity analysis of reactions to Trump’s and Biden’s pandemic tweets
- Case Study: Studying Anti-Social Behaviour on Reddit Using Signed Network
- Adding toxicity-related scores to a network: By default, Communalytic will generate a “who replies to whom” communication network without toxicity scores. To transform a communication network into a signed network, you must first run a toxicity analysis on your dataset and then add toxicity-related scores to each tie in your communication network. (See Sec. 5)
- Learn more about Signed Networks
- Signed Networks in Social Media by Leskovec, Huttenlocher, Kleinberg
- Signed Social Networks: A Survey by Girdhar & Bharadwaj
- Tutorial: Visualizing a 2-mode Semantic Network in Communalytic
- Tutorial: Visualizing a 2-mode Semantic Network in Gephi