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EdgeRank

EdgeRank is the name commonly given to the algorithm that Facebook uses to determine what articles should be displayed in a user's News Feed. As of 2011, Facebook has stopped using the EdgeRank system and uses a machine learning algorithm that, as of 2013, takes more than 100,000 factors into account.

Art, Impact & Overview

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Research this topic

Explore the main themes, entities and connections around EdgeRank. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Impact

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

EdgeRank

Nodes11
Edges10
Triples5
Avg. degree1.82
Density0.181818
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

EdgeRank

Top relations

has impact · 2
EdgeRank → As, Facebook
is a · 1
EdgeRank → name commonly given to the algorithm that Facebook uses to determine what articles should be displayed in a user's News Feed
related to External links · 1
EdgeRank → How News Feed Works
related to Formula and factors · 1
EdgeRank → In

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

facebook algorithm uses content reach factors organic news feed impact see user shown like reaction haha comments ranking pages name

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
EdgeRankis aname commonly given to the algorithm that Facebook uses to determine what articles should be displayed in a user's News Feed0.90text
EdgeRankhas impactAs0.60section
EdgeRankhas impactFacebook0.60section
EdgeRankrelated to External linksHow News Feed Works0.60section
EdgeRankrelated to Formula and factorsIn0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.