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Matthew effect: Works, Career & Science

The Matthew effect, sometimes called the Matthew principle or cumulative advantage, is the tendency of individuals to accrue social or economic success in proportion to their initial level of popularity, friends, wealth, and natural advantages. It is sometimes summarized by the adage or platitude "the rich get richer and the poor get poorer". Also termed…

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Matthew effect topic overview

The analysis highlights Works, Career and Science as prominent areas in the source structure around Matthew effect.

Related topics
43
Source areas
11
Connected nodes
54
Extracted relationships
59
Related term clusters
20
Bridge connections
54

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Etymology · 9 topics
Sociology of science · 9 topics
Overview · 7 topics
Cumulative inequality theory · 5 topics
Education · 4 topics
Network science · 3 topics
Career progression · 2 topics
Cosmology · 1 topics
Life course inequality · 1 topics
Markets with social influence · 1 topics
Mitigation · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Etymology

Sociology of science

Education

Network science

Cosmology

Career progression

Markets with social influence

Cumulative inequality theory

Life course inequality

Mitigation

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Matthew effect connects Entity context

The extracted context around Matthew effect shows recurring relationship patterns in the source. For example, Matthew effect → Harriet Anne Zuckerman, Matthew, Merton, Robert, Search, Stephen Stigler, Stigler, Stigler's, The Matthew Effect, Whereas, Zuckerman Another extracted example is Matthew effect → Abeliuk, Dodds, Download, Experiments, In MUSICLAB, Matthew Effect's, MUSICLAB, Salganik, Social, Watts. Use these groups to spot repeated connection types before inspecting the individual relationships.

Matthew effect

Top relations

related to Coining the "Matthew effect" · 11
Matthew effect → Harriet Anne Zuckerman, Matthew, Merton, Robert, Search, Stephen Stigler, Stigler, Stigler's, The Matthew Effect, Whereas, Zuckerman
related to Markets with social influence · 10
Matthew effect → Abeliuk, Dodds, Download, Experiments, In MUSICLAB, Matthew Effect's, MUSICLAB, Salganik, Social, Watts
related to Education · 8
Matthew effect → Anthony Kelly, Brody, Dare County Board, Education, Effectively, Keith Stanovich, Later, Matthew
related to Life course inequality · 7
Matthew effect → Dannefer, Family, Jennings, Merton, Pallas, Research, Zuckerman's Matthew Effect
related to Cumulative inequality theory · 5
Matthew effect → Elder's, Kenneth Ferraro, Matthew, Originally, Robert Merton
related to Career progression · 4
Matthew effect → Bask, Feichtinger, Major League Baseball, Matthew
related to Cumulative advantage · 4
Matthew effect → Bradford's, Lotka's, Matthew, Price
related to Network science · 4
Matthew effect → Albert, Barabási, Matthew, World Wide Web
related to Cosmology · 1
Matthew effect → Matthew

Important terminology

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

Important terminology

matthew effect cumulative advantage also social inequality individuals science network given time even research preferential attachment education scientific found later

Matthew effect relationships Subject–Predicate–Object triples

TTTA extracted 59 structured relationships around Matthew effect. Examples in this analysis include the Internet → instance of → The Matthew Effect therefore explains the growth of some nodes in vast networks and education → instance of → complicating efforts to measure inequality over time.Research has expanded cumulative advantage beyond aging to domains. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
the Internetinstance ofThe Matthew Effect therefore explains the growth of some nodes in vast networks0.80text
educationinstance ofcomplicating efforts to measure inequality over time.Research has expanded cumulative advantage beyond aging to domains0.80text
workinstance ofcomplicating efforts to measure inequality over time.Research has expanded cumulative advantage beyond aging to domains0.80text
healthinstance ofcomplicating efforts to measure inequality over time.Research has expanded cumulative advantage beyond aging to domains0.80text
and wealthinstance ofcomplicating efforts to measure inequality over time.Research has expanded cumulative advantage beyond aging to domains0.80text
Matthew effectrelated to Career progressionMajor League Baseball0.60section
Matthew effectrelated to Career progressionBask0.60section
Matthew effectrelated to Career progressionFeichtinger0.60section
Matthew effectrelated to Career progressionMatthew0.60section
Matthew effectrelated to Coining the "Matthew effect"Matthew0.60section
Matthew effectrelated to Coining the "Matthew effect"Robert0.60section
Matthew effectrelated to Coining the "Matthew effect"Merton0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Matthew effect bring nearby vocabulary together. In this analysis, examples include Matthew, Network and Science. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Matthew effect
    • Matthew
    • Network
    • Science
    • Advantage
    • Concept
    • Also
    • Scientific
    • Cumulative
    • Given
    • Social
    • Influence
    • Attachment
  • matthew effect
    • Matthew
    • Network
    • Science
    • Advantage
    • Concept
    • Also
    • Scientific
    • Attachment
    • Preferential
    • Cumulative
    • Given
    • Social
  • gospel of matthew
    • Network
    • Science
    • Concept
    • Also
    • Scientific
    • Given
    • Social
    • Influence
    • Attachment
    • Preferential
    • Even
    • Inequality
  • social influence
    • Influence
    • Social
    • Inequality
    • Theory
    • Resources
    • Scientific
    • Wealth
    • Matthew
    • Course
    • Also
    • Merton
    • Health
  • markets with social influence
    • Influence
    • Social
    • Inequality
    • Theory
    • Resources
    • Scientific
    • Wealth
    • Matthew
    • Course
    • Also
    • Merton
    • Health
  • cumulative inequality theory
    • Advantage
    • Inequality
    • Social
    • Life
    • Course
    • Theory
    • Study
    • Health
    • Economic
    • Matthew
    • Effect
    • Also
  • life course inequality
    • Course
    • Life
    • Health
    • Study
    • Social
    • Concept
    • Inequality
    • Theory
    • Cumulative
    • Merton
    • Influence
    • Education
  • education
    • Wealth
    • Theory
    • Network
    • Research
    • Effect
    • Inequality
    • Social
    • Matthew
    • Concept
    • Course
    • Reading
    • Resources

Connections between topic areas Semantic bridges

For Matthew effect, one of the stronger structural bridges in this analysis connects Matthew effect with Etymology. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Matthew effect — Etymology · splits 45 ⟂ 10
Matthew effect — Sociology of science · splits 45 ⟂ 10
Matthew effect — Overview · splits 47 ⟂ 8
Matthew effect — Cumulative inequality theory · splits 49 ⟂ 6
Matthew effect — Education · splits 50 ⟂ 5
Matthew effect — Network science · splits 51 ⟂ 4
Matthew effect — Career progression · splits 52 ⟂ 3

Map overview Semantic statistics

Matthew effect

Nodes55
Edges54
Triples59
Avg. degree1.96
Density0.036364
Components1

Source & methodology

TTTA analyzes the structure around Matthew effect to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Matthew effect · EN edition · Analysis: TopicsToTalkAbout

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