Data Item Importance Report

Modified on Sat, 10 Jan at 3:53 PM

The Data Item Importance report shows which items in your Knowledge Graph are the most influential and central based on how they are connected to everything else. This report helps you understand:

  • What entities and pages matter most in your Knowledge Graph

  • Where authority, relevance, and connectivity are concentrated

  • Which items should be prioritized for optimization, accuracy, and governance

Part of Knowledge Graph Health Reports

What This Report Shows

Each item in this report is ranked using PageRank, a graph-based algorithm that measures importance based on connections, not just existence. In simple terms:

An item is important if many important items connect to it.

This mirrors how influence works in real-world networks and search engines.


How to Read the Report

Each row represents a single data item in your Knowledge Graph.

Columns Explained

PageRank Score

A numerical score representing the item’s relative importance in the graph.

  • Higher score = more central, more connected, more influential

  • Scores are relative within your project

  • Small decimal differences still matter

Use this column to quickly identify your top-tier entities and pages.


Type

The schema.org (or custom) type of the item.

Examples:

  • Organization

  • Person

  • Thing

  • DefinedTerm

  • PropertyValue

This helps you understand what kind of items carry influence in your graph.


Name

The human-readable name of the item.

This is typically the entity name, page title, or defined term.


URI

The canonical identifier for the item.

  • Confirms exactly which page or entity is being ranked

  • Useful for validation, debugging, and cross-referencing


Actions

Contextual actions you can take on the item, such as:

  • Viewing or editing the entity

  • Navigating to its source

  • Managing its relationships

(Available actions depend on the item type.)


What PageRank Means (and What It Doesn’t)

What It Means

  • Measures graph importance, not traffic or conversions

  • Reflects how well an item is connected to other important items

  • Surfaces hubs, authorities, and core concepts

What It Does Not Mean

  • It is not a Google ranking score

  • It does not measure content quality directly

  • It does not reflect user behavior

Think of PageRank here as Knowledge Graph gravity.


How to Use This Report

1. Identify Your Core Entities

Your highest-ranked items should represent:

  • Key brands

  • Core products or services

  • Primary concepts your site is about

  • Important people or organizations

If they don’t, that’s a signal your graph structure needs attention.


2. Prioritize Optimization

High-importance items deserve:

  • Accurate properties

  • Complete relationships

  • Strong content alignment

  • Careful governance

Mistakes on high-PageRank items have outsized impact.


3. Find Under-Supported Key Concepts

If an important business concept ranks low:

  • It may be under-linked

  • It may be missing relationships

  • It may not be referenced consistently across content

This is an opportunity to strengthen your Knowledge Graph.


4. Support Other Health Reports

This report feeds directly into:

  • Data Item Similarity (importance helps rank results)

  • Knowledge Graph analysis and insights

  • Future automation and recommendations

A strong importance signal improves the value of all downstream analysis.


Best Practices

  • Review Data Item Importance after fixing orphan nodes

  • Expect your top results to remain relatively stable over time

  • Investigate large ranking changes—they usually indicate structural changes

  • Use importance to guide where you invest effort, not what you delete



Common Questions

Why do some “Thing” items rank highly?
Because they are heavily referenced across your content and entities.

Why are some pages missing?
Only items that are connected in the graph receive a PageRank score.

Why do scores look small?
PageRank values are normalized. Relative ordering matters more than absolute numbers.


Summary

The Data Item Importance report helps you:

  • See what truly matters in your Knowledge Graph

  • Focus optimization where it counts

  • Build a stronger, more intentional graph structure

If the Orphan Node report tells you what’s broken, Data Item Importance tells you what’s critical.

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