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Margam is a suburb and community of Port Talbot in the Welsh county borough of Neath Port Talbot, Wales, close to junction 39 of the M4 motorway. The community had a population of 3,017 in 2011; the built up area being larger and extending into Taibach community.
The analysis highlights History, Politics and Measurement as prominent areas in the source structure around Margam.
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.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Margam shows recurring relationship patterns in the source. For example, Margam → At, Bernard, Cistercians, Clairvaux, Earls, Mansel, Margam Abbey, Margam Country Park, Roman, Roman Wales, Shrewsbury, St, Talbot, The, Tir Iarll, Wales, Welsh Another extracted example is Margam → Alan Durban, Anthony Hopkins, Bracken Road, Broadway, Hollywood, Ivor Emmanuel, Peg Entwistle, Price, The, Wern Road. 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.
talbot port community neath wales century important country county area welsh family local council taibach suburb park early parish borough
TTTA extracted 66 structured relationships around Margam. Examples in this analysis include Margam → Ambulance → Welsh and Margam → Councillors → Robert Jones (Labour). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Margam | Ambulance | Welsh | 1.00 | infobox |
| Margam | Councillors | Robert Jones (Labour) | 1.00 | infobox |
| Margam | Councillors | Laura Williams (Labour) | 1.00 | infobox |
| Margam | Councillors | Dennis Keogh (Labour) | 1.00 | infobox |
| Margam | Country | Wales | 1.00 | infobox |
| Margam | Dialling code | 01639 | 1.00 | infobox |
| Margam | Fire | Mid and West Wales | 1.00 | infobox |
| Margam | OS grid reference | SS803854 | 1.00 | infobox |
| Margam | Police | South Wales | 1.00 | infobox |
| Margam | Population | 3,017 (2011 census) | 1.00 | infobox |
| Margam | Post town | PORT TALBOT | 1.00 | infobox |
| Margam | Postcode district | SA13 | 1.00 | infobox |
| Margam | Preserved county | West Glamorgan | 1.00 | infobox |
| Margam | Principal area | Neath Port Talbot | 1.00 | infobox |
| Margam | Senedd Cymru – Welsh Parliament | Aberavon | 1.00 | infobox |
| Margam | Sovereign state | United Kingdom | 1.00 | infobox |
| Margam | UK Parliament | Aberafan Maesteg | 1.00 | infobox |
| Margam | is a | suburb and community of Port Talbot in the Welsh county borough of Neath Port Talbot | 0.90 | text |
The concept neighborhoods around Margam bring nearby vocabulary together. In this analysis, examples include Talbot, Port and Century. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Margam, one of the stronger structural bridges in this analysis connects Margam with History. 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 Margam to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Politics & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Margam · EN edition · Analysis: TopicsToTalkAbout