Social Network Analysis: merging tradition with modern tools and methods
Social Network Analysis, alongside the most traditional social media analytics tools, can help identify the most interesting communities, the most shared topics, relevant influencers, and analyze the different aspects of engagement within social media.
In an age where technology is evolving at a rapid pace, the tools and methodologies we use to understand and interpret the vast digital landscape are crucial. Traditional ways of analyzing social interactions are being complemented—and in some cases, replaced—by innovative approaches. This webinar aims to bridge the gap between traditional and cutting-edge methodologies. We will dive deep into online conversation analysis, spotlighting the synergy of social media scraping, generative AI tools like ChatGPT, and the comprehensive capabilities of Gephi for network visualization. Learning objectives:
- Origins, applications, and basic knowledge of Social Network Analysis
- Overview of some entry-level tool for social media scraping (Phantombuster and Apify)
- ChatGPT for data analysis and transformation
- Introduction to Gephi for Network analysis and visualisation
- Analyze Twitter and Instagram conversations to identifiy the most active and influential users
- Semantic Network Analysis
Note: This is a webinar registration. Q&A will be anonymized whenever possible, but identities may be preserved if needed for useful clarifications.
2 hours webinar recording and 97 slides with speaker notes