Master Social Media Network Analysis - Free NodeXL Pro Research Webinar

Date & Time

Nov. 7, 2025, 10 a.m. - Nov. 7, 2025, 11:30 a.m.

Cost

$0

Location

Online


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Description

Unlock Powerful Network Insights for Your Research

Take your social media research to the next level with NodeXL Pro - the premier tool for network analysis. This free research webinar will show you how to harness the power of network science to uncover hidden patterns, influencers, and communities in your data.

Perfect for academics, PhD students, and researchers across social sciences, digital humanities, and marketing fields.

 

Why Attend This Webinar?

 

  • Practical Research Applications - Get immediately applicable methods for your studies.
  • No Coding Required - NodeXL Pro makes advanced analysis accessible to all researchers.
  • Academic-Focused Training - Content specifically tailored for research needs.
  • Exclusive Software Discounts - Learn about special academic pricing.

 

What You will Discover

 

  • Core Network Science Concepts - Learn fundamental principles and how to apply them to academic research.
  • Social Media Data Import & Visualization - Master techniques to collect and visualize network data from platforms like Twitter and Facebook.
  • Automated Network Analysis - Discover time-saving methods to analyze large datasets without coding.
  • Influencer Identification & Community Mapping - Develop skills to pinpoint key actors and map audience structures for your research.

 

Who Should Join?

 

This session is ideal for:

  • Academic researchers studying social networks.
  • PhD students working with social media data.
  • Research teams analyzing online communities.
  • Anyone interested in computational social science methods.

 

Why Researchers Choose NodeXL Pro

Powerful Yet Accessible - Sophisticated analysis without programming.

Comprehensive Social Media Integration - Direct data imports from major platforms.

Publication-Quality Visualizations - Create graphs ready for papers and presentations.

Academic Community Supported - Trusted by universities worldwide.