In today's complex and fast-paced digital landscape, understanding who truly holds influence within your audience is more critical than ever. Conversations are not flat. They’re dynamic, multi-layered, and shaped by a web of interconnected relationships. To navigate this complexity, the Influencer Network Graph in TRAC reveals how audiences interact, who drives engagement, and where conversations truly take shape. This interactive visualisation has long been central to understanding audience makeup and behaviour, mapping who reacts to whom, thus identifying the individuals at the heart of conversations, and uncovering how influence flows across your data.
Now, we’re taking this capability even further. We’re introducing a new Influencer 3D Network visualisation, tripling down on one of TRAC’s most powerful analytical tools.
To truly understand modern audiences, a two-dimensional view isn’t always enough and this immersive 3D perspective adds an entirely new layer of depth to audience analysis in Pulsar.
Why 3D and not 2D?
This groundbreaking and immersive 3D perspective adds a new layer of depth to your audience analysis in Pulsar, allowing you to explore the network's structure in a more intuitive and revealing way. By visualising networks in three dimensions, users can explore structure and influence more intuitively. The added depth helps surface clusters and connections with greater clarity, revealing nuanced relationships that can be difficult or sometimes impossible to spot in a flat 2D view. Communities become layered and spatial, transforming a complex web of interactions into a tangible, explorable landscape of influence.
By visualising influence as a living 3D network, you can move beyond surface-level insights and into real world audience intelligence networks. Rotate, zoom, and explore the 3D network from multiple angles to uncover patterns that were once hidden in flat views.
3D View
2D View
Understanding the Influencer Network Graph
At its core, the Influencer Network maps post & engagement relationships across any supported data source in TRAC. This can be X, Youtube, Facebook, etc.
Nodes represent authors and accounts.
Connections (Edges) represent engagements such as comments, replies, and reposts.
Node size reflects the volume of engagement an author generates.
Clusters emerge where audiences interact most frequently.
The more engagement an author attracts, the more connected and therefore influential they are. This makes highly connected voices immediately stand out, even in large, noisy conversations. The graph also automatically groups users into colour-coded clusters. This segmentation reveals distinct tribes and sub-communities, enabling you to tailor your messaging for maximum resonance.
Why Influence as a Network Matters
Traditional metrics flatten influence into engagement counts and rankings. Our powerful influencer network visualisation shows structure. With this graph, you can:
Spot true conversation drivers, not just the loud voices.
Understand how audiences cluster and overlap.
Identify bridges between communities and narratives.
See how influence flows, rather than assuming where it sits.
So instead of asking “Who has the biggest following?”, you can now ask: “Who actually activates this audience?”
Getting the most out of The Influencer Network
For Analysts: See influence as a system, not a score
The Influencer Network Graph gives analysts a structural view of engagement, revealing how conversations form, cluster, and spread. Instead of relying solely on volume metrics, the network shows explicit post-to-engagement relationships, making it easier to identify:
Highly connected authors driving disproportionate engagement.
Distinct audience clusters and sub-communities.
Bridge accounts linking otherwise separate groups.
Dense interaction patterns that signal coordination or amplification.
The new 3D view is particularly valuable for complex datasets, where overlapping communities and high engagement volumes can obscure meaningful relationships in flat 2D views. By adding depth, analysts can disentangle networks, explore interaction layers, and surface patterns that would otherwise remain hidden.
For Comms Teams: Know who really moves the conversation
Not everyone with a big following actually drives engagement. The Influencer Network Graph helps comms teams quickly see who audiences respond to, not just who posts the most.
By visualising who reacts to whom, the graph highlights:
Voices that spark conversation and amplification.
Natural advocates (or detractors), and organic amplifiers.
Communities forming around specific narratives or moments.
How messages travel through different audience groups
Whilst the 2D view makes it easy to identify key influencers at a glance, the new 3D view reveals how different communities connect, helping teams tailor outreach, refine messaging, and understand where their stories gain traction.
For Insight Teams: Turn audience behaviour into understanding
The Influencer Network Graph helps insight teams move beyond engagement totals to understand how audiences interact and organise themselves.
By mapping engagement relationships, the network reveals:
How audiences cluster around people, topics, or narratives
Which voices anchor different communities
Where conversations overlap and where they don’t
How influence shifts over time or across themes
The 3D view adds critical context by showing depth and proximity between groups, helping insight teams explore complex audience ecosystems and uncover emergent patterns that inform strategy, research, and long-term planning.
One network, multiple perspectives. Whether you’re validating influence, shaping communication strategy, or uncovering audience dynamics, the Influencer Network Graph in TRAC adapts to how your team thinks and what you need to learn.
Availability
The new 3D Influencer Network Graph is now available in Pulsar for all users with a TRAC license at no additional cost. We have retained the 2D visualisation as well, giving you greater flexibility in understanding influence.
Navigate to the Audience tab under Network to see this powerful visualisation in action. Start exploring the true shape of your audience's conversations.


