Network graph

Graph mode turns a result set into a live, force-directed network of the entities behind your answer: the people, universities, faculties, and research institutes, connected by affiliation and collaboration. It is where the Descriptive Digital Twin becomes visible. Every node and edge resolves to a record in the data beneath it, so the structure you are reading is the ecosystem as recorded, not a rendering of it.

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Opening the graph

From any results view, click the Graph mode toggle at the right end of the tab bar. The graph replaces the tab content in place; clicking any tab returns you to the standard views without losing the graph’s state for that query.

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Reading the graph

Each node is an entity from your result. Nodes are sized and coloured by type, with the entity’s initials inside the circle and its name below: Edges show relationships: affiliation (a person belongs to an organisation) and collaboration (entities that work together). The layout is physical: tightly connected clusters pull together, bridges between communities stretch out. You can drag any node to reposition it, scroll to zoom, and drag the background to pan.

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Controls

The control bar above the graph gives you:

• Search: type a name or keyword; matching nodes stay at full strength while the rest of the graph fades back, so matches stand out without losing context.
• Type filter: restrict the view to one entity type (for example, only People) to simplify a dense graph.
• Reset: clears search, filter, and zoom back to the default view.
• Pop out: detaches the graph into a floating panel you can drag anywhere in the window, useful for keeping the graph visible while you read the tab views or write a report.

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Node details

Click a node to select it. A detail panel opens below the graph with the entity’s profile (title, department, and institution for a person; keywords and type for an organisation) so you can identify an entity without leaving the graph. Selected nodes get a highlight ring; hovering previews a node the same way.

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Expanding the graph

Some nodes can be expanded to pull in their wider neighbourhood: for example, expanding a research institute fetches the people affiliated with it that weren’t part of the original answer. An expanding node shows a loading ring while its connections are fetched.