NodeXL Academy: Social Media Network Analysis Short Course

Join us on Tuesday and Wednesday, November 10 to 11, 2026, 3:00 to 6:00 PM GMT each afternoon, for a NodeXL Academy short course in social media network analysis across two 3-hour live afternoon sessions.

Two afternoons give you more time at the keyboard: a fuller treatment of the metrics and content analysis, and room to apply the full workflow to a dataset that matters to your work, with the instructors on hand. Everything runs inside Microsoft Excel, and no programming is required.

What you will learn across the two afternoons:

• Collect real data from sources such as X, Reddit, YouTube, and Wikipedia.
• Calculate the network metrics that identify influential accounts (degree, betweenness, closeness, PageRank) and understand which measure answers which question.
• Detect the communities inside a network using NodeXL's clustering.
• Analyze content with sentiment analysis and the top words, hashtags, and links.
• Lay out and publish a clean, shareable network map, and work through the full pipeline on your own data.

New this year: NodeXL Pro's new X (Apify) importer (introduced in v.565) brings X data back within reach, collect by hashtag, keyword, or user timeline with one click, and pay only for what you collect. With two evenings, there is time to use it on your own question, from collection to a finished map. You will also get a clear picture of how AI is reshaping social media research.

Your instructors:

• Dr. Marc Smith, sociologist and director of the Social Media Research Foundation.
• Dr. Verónica Espinoza, data scientist, neurobiologist, chemist, consultant, trainer and speaker, and one of NodeXL's leading educators, in English and Spanish.
• Dr. Wasim Ahmed, Senior Lecturer in Marketing at the University of Hull, Research Fellow in Social Network Science and Digital Disinformation at the United Nations University, and Associate Editor of JMIR Infodemiology.

Who should attend: researchers and graduate students, marketers and communications professionals, journalists, and anyone who wants to go beyond the basics and work on their own data.

Questions: nodexlacademy@gmail.com