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Coevolution: Cultures, Outside biology & Hosts and parasites

In biology, coevolution occurs when two or more species reciprocally affect each other's evolution through the process of natural selection. The term sometimes is used for two traits in the same species affecting each other's evolution, as well as gene-culture coevolution.

Language: English [EN]
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Coevolution topic overview

The analysis highlights Cultures, Outside biology and Hosts and parasites as prominent areas in the source structure around Coevolution.

Related topics
119
Source areas
8
Connected nodes
127
Extracted relationships
141
Concept neighborhoods
29
Bridge connections
127

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.

Overview · 57 topics
Outside biology · 23 topics
Hosts and parasites · 12 topics
Mutualism · 8 topics
Predators and prey · 8 topics
Competition · 5 topics
Geographic mosaic theory · 5 topics
Multispecies · 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.

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

Mutualism

Hosts and parasites

Predators and prey

Competition

Multispecies

Geographic mosaic theory

Outside biology

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.

How Coevolution connects Entity context

The extracted context around Coevolution shows recurring relationship patterns in the source. For example, Coevolution → American, China's, Deng Xiaoping, European, How China Escaped, John Padgett, Markets, Nigeria's, Organizations, Poverty Trap, Some, The Emergence, Tuscany, Walter Powell, Yuen Yuen Ang Another extracted example is Coevolution → Coevolutionary Revisioning, Environment, Future, In Coevolutionary Economics, In Development Betrayed, John Gowdy, Progress, Richard Norgaard, Society, The, The Economy, The End. Use these groups to spot repeated connection types before inspecting the individual relationships.

Coevolution

Top relations

related to In political economy · 15
Coevolution → American, China's, Deng Xiaoping, European, How China Escaped, John Padgett, Markets, Nigeria's, Organizations, Poverty Trap, Some, The Emergence, Tuscany, Walter Powell, Yuen Yuen Ang
related to In sociology · 12
Coevolution → Coevolutionary Revisioning, Environment, Future, In Coevolutionary Economics, In Development Betrayed, John Gowdy, Progress, Richard Norgaard, Society, The, The Economy, The End
related to Parasites and sexually reproducing hosts · 11
Coevolution → Correlated, Host, It, Looking-Glass, Red Queen, Red Queen's, The, The Red Queen, This, Through, Whichever
related to Predators and prey · 10
Coevolution → Conversely, Ehrlich, In, Paul, Peter, Predators, Raven, Rocky Mountains, The, These
related to Geographic mosaic theory · 9
Coevolution → Arms, Depending, Hot, In, Mosaic, Reciprocal, Several, The, These
related to In system development · 9
Coevolution → All, An, Changes, Computer, Developed, Mary Lou Maher, Similarly, Such, The
related to Flowering plants · 8
Coevolution → Charles Darwin, Fertilisation, Flowering, He, On, Orchids, Origin, Species
related to Antagonistic coevolution · 6
Coevolution → Antagonistic, But, Only, Pogonomyrmex, The, While
related to In management and organisation studies · 5
Coevolution → However, Intel, It, Since, This
related to Multispecies · 5
Coevolution → Another, For, More, The, This

Important terminology

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

Important terminology

species flowers plants insects evolutionary evolution two bees host may also flowering pollinators plant nectar pollen parasite race many birds

Coevolution relationships Subject–Predicate–Object triples

TTTA extracted 141 structured relationships around Coevolution. Examples in this analysis include Coevolution → is a → evolution of two or more species which reciprocally affect each other and Coevolution → is a → coevolution of a host and a parasite. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Coevolutionis aevolution of two or more species which reciprocally affect each other0.90text
Coevolutionis acoevolution of a host and a parasite0.90text
Coevolutionis atheory in which geographic location and community ecology shape differing coevolution between strongly interacting species in multiple populations0.90text
the evolution of sexual reproduction or shifts in ploidyinstance ofand demonstrate that coevolution can play an important role in driving major evolutionary transitions0.80text
plantsinstance ofthe evolution of groups of mutualists0.80text
their pollinatorsinstance ofthe evolution of groups of mutualists0.80text
and the dynamics of infectious disease.Each party in a coevolutionary relationship exerts selective pressures on the otherinstance ofthe evolution of groups of mutualists0.80text
thereby affecting each other's evolutioninstance ofthe evolution of groups of mutualists0.80text
beesinstance ofas has happened between the flowering plants and pollinating insects0.80text
fliesinstance ofas has happened between the flowering plants and pollinating insects0.80text
and beetlesinstance ofas has happened between the flowering plants and pollinating insects0.80text
computer scienceinstance ofbut researchers have applied it by analogy to fields0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Coevolution bring nearby vocabulary together. In this analysis, examples include Species, Two and Mosaic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Coevolution
    • Species
    • Two
    • Mosaic
    • Theory
    • Plants
    • Evolution
    • Competition
    • Relationship
    • Also
    • May
    • Evolutionary
    • Sexual
  • coevolution
    • Species
    • Two
    • Mosaic
    • Theory
    • Plants
    • Evolution
    • Competition
    • Relationship
    • Also
    • May
    • Evolutionary
    • Sexual
  • species
    • Two
    • Plants
    • Insects
    • Evolution
    • Evolutionary
    • Ornithophilous
    • Flowering
    • Many
    • Arms
    • Plant
    • Flowers
    • Ants
  • evolution
    • Two
    • Development
    • Mosaic
    • Reproduction
    • Theory
    • Reciprocal
    • Species
    • Plant
    • Relationship
    • Plants
    • Also
    • Evolutionary
  • gene-culture coevolution
    • Species
    • Two
    • Mosaic
    • Theory
    • Plants
    • Evolution
    • Competition
    • Relationship
    • Also
    • May
    • Evolutionary
    • Sexual
  • flowering plants
    • Plants
    • Insects
    • Bees
    • Evolved
    • Ants
    • Species
    • Groups
    • Many
    • Flowers
    • Nectar
    • May
    • Two
  • on the origin of species
    • Two
    • Plants
    • Insects
    • Evolution
    • Evolutionary
    • Ornithophilous
    • Flowering
    • Many
    • Arms
    • Plant
    • Flowers
    • Ants
  • coevolution between plants and butterflies
    • Bees
    • Species
    • Two
    • Groups
    • Mosaic
    • Theory
    • Evolved
    • Plants
    • Evolution
    • May
    • Competition
    • Flowers

Connections between topic areas Semantic bridges

For Coevolution, one of the stronger structural bridges in this analysis connects Coevolution with Overview. 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
CoevolutionOverview · splits 70 ⟂ 58
CoevolutionOutside biology · splits 104 ⟂ 24
CoevolutionHosts and parasites · splits 115 ⟂ 13
CoevolutionMutualism · splits 119 ⟂ 9
CoevolutionPredators and prey · splits 119 ⟂ 9
CoevolutionCompetition · splits 122 ⟂ 6
CoevolutionGeographic mosaic theory · splits 122 ⟂ 6

Map overview Semantic statistics

Coevolution

Nodes128
Edges127
Triples141
Avg. degree1.98
Density0.015625
Components1

Source & methodology

TTTA analyzes the structure around Coevolution to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Cultures, Outside biology & Hosts and parasites, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Coevolution · EN edition · Analysis: TopicsToTalkAbout

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