Graph Overview — HireLens Docs

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# Market Map

> **The entire hiring market, visualized as an interactive graph.**

The Market Map renders every vacancy as a node in a force-directed graph. Nodes cluster naturally around shared attributes — company, domain, role — creating a living visualization of market structure.

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## What You See

When you open the [Market Map](/graph), you are looking at **the topology of the job market**:

- Each **node** is a vacancy
- **Clusters** form around companies and domains
- **Colors** represent different domains (DeFi = green, NFT = purple, Gaming = orange, etc.)
- **Node size** scales with AI quality score — bigger nodes = higher quality signals
- **Edges** connect related vacancies (same company, similar domain)

The result is an organic map where you can instantly see:
- Where hiring activity concentrates
- Which companies dominate which areas
- How domains overlap and interconnect
- Where gaps exist in the market

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## Navigation

### Mouse Controls
| Action | Effect |
|--------|--------|
| **Scroll wheel** | Zoom in / out |
| **Click + drag** (on background) | Pan the view |
| **Click** on a node | Select and view vacancy details |
| **Hover** over a node | Preview title and company |

### Toolbar
The top toolbar provides:
- **Domain toggles** — Show/hide specific domains
- **Seniority filter** — Focus on specific experience levels
- **Score threshold** — Only show nodes above a quality score
- **Search** — Highlight specific vacancies or companies

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## Understanding Clusters

### Company Clusters
Vacancies from the same company form **tight clusters**. Large, dense clusters indicate companies with many open positions — a signal of active hiring or rapid growth.

### Domain Clusters
Broader clusters form around industry domains. The DeFi cluster, for example, contains all DeFi-related positions across many companies.

### Cross-Domain Bridges
Some companies or roles appear between clusters — these are **bridge nodes**. A company that hires both DeFi developers and Gaming engineers will have nodes in both clusters, creating a visual bridge between domains.

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## Performance

The graph uses **WebGL-accelerated rendering** and handles thousands of nodes smoothly. For very large datasets:
- Use domain toggles to focus on specific sectors
- Apply score filters to reduce visual noise
- Zoom into specific clusters for detail

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*See [Graph Use Cases](/docs/graph-use-cases) for practical applications and [Navigation Guide](/docs/graph-navigation) for advanced controls.*

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