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Group selection is a proposed mechanism of evolution in which natural selection acts at the level of the group, instead of at the level of the individual or gene.
The analysis highlights Applications, Rejection and Background as prominent areas in the source structure around Group selection.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Group selection shows recurring relationship patterns in the source. For example, Group selection → Charles Darwin, Darwin, Darwinian, Dawkins, Konrad Lorenz, Lorenz, Lorenz's, Man, Niko Tinbergen, On Aggression, Once Darwinism, Origin, Richard Dawkins, Species, The Descent, The Selfish Gene, Wynne-Edwards Another extracted example is Group selection → David Sloan Wilson, Elliott Sober, Groups, Resurrected, Russian, Sober's, Wilson. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
selection group evolution altruism individuals groups kin wilson individual theory social fitness argued altruistic genes gene multilevel behaviour trait species
TTTA extracted 117 structured relationships around Group selection. Examples in this analysis include Group selection → is a → proposed mechanism of evolution in which natural selection acts at the level of the group and John Maynard Smith → instance of → evolutionary biologists. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Group selection | is a | proposed mechanism of evolution in which natural selection acts at the level of the group | 0.90 | text |
| John Maynard Smith | instance of | evolutionary biologists | 0.80 | text |
| W | instance of | evolutionary biologists | 0.80 | text |
| the haplodiploid social insects like honeybees | instance of | including in special situations | 0.80 | text |
| where kin selection explains the behaviour of non-reproductives equally well | instance of | including in special situations | 0.80 | text |
| since the only way for them to reproduce their genes is via kin.In 1994 David Sloan Wilson | instance of | including in special situations | 0.80 | text |
| Elliott Sober argued for multi-level selection | instance of | including in special situations | 0.80 | text |
| including group selection | instance of | including in special situations | 0.80 | text |
| on the grounds that groups | instance of | including in special situations | 0.80 | text |
| like individuals | instance of | including in special situations | 0.80 | text |
| could compete | instance of | including in special situations | 0.80 | text |
| honeybees | instance of | Williams's 1971 book Group Selection assembled writings from many authors on the same theme.It was in the 1960s generally agreed that group selection also applied for eusocial i… | 0.80 | text |
The concept neighborhoods around Group selection bring nearby vocabulary together. In this analysis, examples include Selection, Individual and Multilevel. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Group selection, one of the stronger structural bridges in this analysis connects Group selection with Rejection. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Group selection to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Rejection & Background, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Group selection · EN edition · Analysis: TopicsToTalkAbout
