Introducing the 3D Influencer Network Graph – map how influence actually works

Your audiences are 3D. Your visuals for understanding them should be too.

Making sense of influence today means understanding structure, not just scale. Conversations aren’t flat, but rather shaped by overlapping communities, bridge accounts, and patterns of engagement that are hard to see in a simple ranking or 2D chart.

That’s why we’re introducing the 3D Influencer Network Graph in Pulsar TRAC—an immersive way to explore how influence actually flows through your audience.

3D doesn’t just look better – it leads to better understanding 

Traditional metrics collapse influence into counts and leaderboards. Even 2D network visuals can struggle when datasets are dense or communities overlap. The new 3D view adds depth—literally—so you can disentangle complex conversations and surface relationships that remain hidden in two dimensions. .

Rotate, zoom, and explore from multiple angles to reveal:

• Layered communities and sub-communities
  
• Bridge accounts connecting otherwise separate groups
  
• True conversation drivers (not just the loudest voices)

How the Influencer Network Graph works

At its core, the Influencer Network maps post and engagement relationships across any supported source in Pulsar TRAC (X, YouTube, Facebook, and more):

• Nodes represent authors and accounts
  
• Edges represent engagements (replies, comments, reposts)
  
• Node size reflects engagement generated
  
• Clusters emerge where audiences interact most frequently
  

Highly connected voices stand out immediately, even in noisy conversations. Automatic color-coded clusters reveal distinct clusters and sub-communities, helping teams tailor messaging with precision.

NB: beyond the on-platform 3D view, Pulsar is the only social listening platform allowing users to export network graphs for independent analysis and visualisation through our integration with Gephi – an open-source and user-friendly application for visualising, manipulating and analyzing large networks and graphs. 

Influence is understood as a network – not a score

Seeing influence as a network lets you answer better questions:

• Who actually activates this audience?
  
• How do communities overlap—or stay separate?
  
• Where does influence flow between narratives?
  

This shift—from volume to structure—is what turns simple engagement data into bona fide audience intelligence.

Built for how different teams think

For analysts
See influence as a system, not a score. Identify highly connected authors, bridge accounts, dense interaction patterns, and signs of coordination—especially powerful in the new 3D view for complex datasets.

For comms teams
Know who really moves the conversation. Spot voices that spark amplification, natural advocates or detractors, and how messages travel across audience groups.

For insight teams
Understand how audiences organize themselves. See which voices anchor communities, where conversations overlap, and how influence shifts over time or across themes—now with added spatial context in 3D.

Availability

The 3D Influencer Network Graph is available now in Pulsar for all users with a TRAC license, at no additional cost.

If you’re not a Pulsar customer yet and would like to see it in action, simply fill out the form below.