Tutorials

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.
  • Sign Up for an EDU Account (Free – Req. an academic email address)
  • Sign In to Communlaytic EDU
  • Tutorial: Signing Up for Communalyic Edu Account
• 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.
  • Sign Up/Sign In to Communalytic Pro with Google Sign In

• Tutorial: Reddit Data Collection
• Reddit Data Structure 

• Tutorial: How to request Twitter Bearer API
• Tutorial: Twitter Threads Data Collection
• Tutorial: How to collect a thread using Twitter Archive
• Tutorial: Twitter Bot Detection in Communalytic using Botometer API
• Case Study: Toxicity Analysis of a Twitter Thread

• Tutorial: Facebook & Instagram URL-Search Data Collection
• Tutorial: Creating a 2-mode Semantic Network with CrowdTangle Data
• Tutorial: Visualizing a 2-mode Semantic Network in Communalytic
• Tutorial: Visualizing a 2-mode Semantic Network in Gephi

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.
• Tutorial: Toxicity Analysis in Communalytic

• Case Study: Toxicity Analysis of a Twitter Thread

Note: The Sentiment Analysis Module in Communlaytic can conduct sentiment analysis (via Google Perspective) on text in the following languages – English, French, German.

• Tutorial: Sentiment Analysis in Communalytic
• Tutorial: How to inspect conflicting polarity scores between TextBlob and VADER in Excel/Google Sheet

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

• Tutorial: Exporting Data from Communalytic 
• Tutorial: How to Open a CSV File in Excel (Office 365) Properly
• Tutorial: Importing Data into Communalytic from CSV