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Social media analysis

Graph Intelligence and Security

Use this showcase if you’re building an application where analysts need to connect online identities, accounts and posts across social media platforms. It demonstrates how entity resolution can turn scattered identifiers into a clearer network, so relationships are easier to interpret at the level of people and groups rather than individual accounts alone.

What the showcase demonstrates

The showcase follows a fictional group of people linked by their activity across several social media accounts. Instead of filling the top-level view with every account, post and interaction, the network combines related identifiers around the person they belong to. This gives analysts a cleaner starting point for understanding how individuals are connected.

The detail is there when it matters. A user can expand a combined entity to inspect that person’s social media activity, then select an individual post to reveal links to others in the network. This allows a user to easily switch from a high-level relationship view to specific communications that explain each connection.

The workflow is useful when digital activity is fragmented across platforms. Analysts can identify which accounts belong to the same person, trace how information moves through a group and decide where to investigate next.

What you can evaluate

For product and engineering teams, this showcase demonstrates how the SDKs can support entity resolution, grouped network exploration through our combos feature, and detail-on-demand interactions. It shows how complex communication data can be simplified visually while preserving access to the underlying accounts, posts and relationships.

Although this example uses social media data, the same approach can support other relationship-heavy workflows, from suspect networks and group dynamics to influence mapping, customer intelligence and account analysis.

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