Using Social Engagement Metrics for Robust Link AnalysisChris Poulter

This session will look at how social engagement metrics, such as likes and comments, can be used to conduct social network link analysis in a new light. The challenge of conducting link analysis using traditional methods of followers, followings, and friends lists is that the ubiquitous nature of social media and unvetted “friending” means true associations are hard to identify. We can tackle this problem by exploring clustered link analysis to illuminate routine engagements between multiple people and equally identify associates for users who have private or hidden friends lists. The presentation will succinctly demonstrate why, what, and how this can be achieved with repeatable success. Use-cases will be explored that apply to missing persons cases and will identify hidden harassers of high-profile individuals across social media. The takeaways for attendees include: The ability to understand and employ a repeatable process for creating true link diagrams of confirmed associates and social touch points across all social media platforms. Demonstrations specifically include Facebook, TikTok, and Instagram.

Learning Objectives:

  • Solve the issue of social network analysis obfuscation
  • Learn how to leverage social engagement metrics
  • Understand the platform agnostic approach to surface web intelligence

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