[Air-L] Join our June webinars: Social Network Analysis and Generative AI
Alessandro Zonin
alezonin70 at gmail.com
Wed May 28 04:00:00 PDT 2025
Dear Association of Internet Researchers Members,
I'm thrilled to invite you to *two enriching webinars* designed to enhance
your expertise in the realm of social media data analysis and scraping.
*Social Network Analysis: merging tradition with modern tools and methods*
*Date*: Wednesday, June 11, 2025
*Time*: 7 - 9 PM CEST
Social Network Analysis (SNA) identifies key communities, topics,
influencers, and engagement on social media. This webinar blends
traditional and modern methods to enhance understanding of digital
interactions using social media scraping, ChatGPT, and Gephi for
visualization.
- Learn the basics and applications of Social Network Analysis.
- Explore tools like Phantombuster and Apify for social media scraping.
- Use ChatGPT for data analysis and Gephi for network visualization.
*Enroll here:*
https://www.eventbrite.it/e/social-network-analysis-merging-tradition-with-modern-tools-and-methods-tickets-1380520206099?aff=oddtdtcreator
*Turning social media data into valuable insights with ChatGPT *
*Date*: Wednesday, June 18 2025
*Time*: 7 - 9 PM CEST
Transform social media data into valuable insights with ChatGPT. From basic
data collection to advanced analytics, discover how to generate actionable
knowledge.
- Extracting social media data via web scraping
- What is generative AI and its applications for social media data
analysis
- Generating short articles to showcase social media analysis results
*Enroll here:*
https://www.eventbrite.it/e/turning-social-media-data-into-valuable-insights-with-chatgpt-tickets-1380584157379?aff=oddtdtcreator
Cannot attend? Same contents are available in an online
self-paced format. https://alessandrozonin.gumroad.com
I look forward to e-meeting you and exploring these advanced techniques
together.
Cheers,
--
Alessandro Zonin
Digital Data Stories <https://digitaldatastories.it> | Twitter
<https://twitter.com/AlessandroZonin>
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