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Glossary Social Media

Social Graph

The social graph maps connections between users and content on social platforms, enabling targeted advertising and relationship-based marketing strategies.

Also known as: social network graph connection graph friend graph social mapping

What is the Social Graph?

The social graph is a mathematical representation of relationships and connections within a social network. It maps how users connect to one another, the content they interact with, and the patterns of engagement across platforms like Facebook, LinkedIn, Instagram, and Twitter. Think of it as a vast web where each user is a node, and each connection (friendship, follow, interaction) is a line linking those nodes together.

Why the Social Graph Matters for Media Buyers

For UK marketing agencies, the social graph is fundamental to modern audience targeting. Rather than relying solely on demographic data, the social graph allows you to:

  • Identify lookalike audiences by analysing the connections of your best customers
  • Reach users through trusted networks, leveraging the principle that people trust recommendations from their friends
  • Understand audience behaviour by seeing what content resonates within specific social clusters
  • Optimise ad spend by targeting users based on their position within social networks, not just their age or location

Platforms like Facebook leverage their social graph to power Custom Audiences and Lookalike Audiences, which are critical tools for performance marketing in the UK.

How Platforms Use the Social Graph

Facebook's social graph was famously its competitive advantage – the platform knows not just who you are, but who you're connected to and what you engage with. This data allows advertisers to:

  • Show ads to friends of people who've already engaged with your brand
  • Identify micro-influencers within specific communities
  • Understand which networks are most valuable for your product or service

LinkedIn's professional social graph works similarly, mapping career relationships and professional interests, making it invaluable for B2B marketing in the UK.

Practical Applications in Campaigns

When planning a campaign for a UK client, media buyers use social graph insights to:

  1. Seed campaigns with engaged users whose friends are likely to be interested in your offering
  2. Build community-based strategies targeting clusters of users with shared interests
  3. Reduce wastage by avoiding users unlikely to convert based on their network position
  4. Create viral loops by understanding how content spreads through social networks

Privacy Considerations

Following iOS privacy updates and increasing regulatory scrutiny in the UK and EU, platforms have limited third-party access to social graph data. This means agencies now rely more heavily on first-party data and platform-native targeting tools rather than extracting raw social graph information.

Frequently Asked Questions

How is the social graph different from audience demographics?
Demographics describe who someone is (age, location, interests), while the social graph describes who they're connected to and how they interact. The social graph reveals behavioural patterns and influence networks that demographics alone cannot.
Can we access raw social graph data for our campaigns?
Direct access to raw social graph data is now heavily restricted due to privacy regulations and platform policy changes. Instead, UK agencies use platform-provided tools like Facebook's Lookalike Audiences and Custom Audiences, which leverage the social graph internally without exposing raw connection data.
Why do lookalike audiences work so well?
Lookalike audiences work because they're built on social graph data. Platforms analyse the connections and behaviours of your best customers, then find similar users within their networks, meaning you're reaching people who share characteristics with proven converters.
Is the social graph still relevant after iOS privacy changes?
Yes, but differently. Platforms still use social graphs internally for targeting, but agencies can't access raw data. The focus has shifted to platform-native tools and first-party data strategies that respect privacy while leveraging social connections.

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