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Timothy Mark Vine (born 4 March 1967) is an English comedian, actor, writer and presenter best known for his puns and other one-liners and his role on the TV sitcom Not Going Out (2006–2012, 2014). He has also released a number of stand-up comedy specials and written several joke books.
The analysis highlights Works and Career as prominent areas in the source structure around Tim Vine.
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 Tim Vine shows recurring relationship patterns in the source. For example, Tim Vine → Biggest Ever Tim Vine, Book, Children's Edition2013, Crazy Pictures, Daft Jokes, Ever Tim Vine Joke, In, Joke Book, Not Quite, Silliness, Sit-Down Comedy, The, The Biggest Ever Tim, The Not Quite Biggest, The Tim Vine Bumper, Then, Utter Nonsense, Vine, Vine Joke Book, Vine Joke Book2011 Another extracted example is Tim Vine → Additional Festive, BBC One, BBC Radio, Chat Show, Christmas, December, In, July, October, September, Show, Summer, The Tim Vine Chat, The Tim Vine Christmas, Tim Vine Travels Through, Time, Vine. 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.
vine joke show tim 2014 fringe 2010 one edinburgh series mack bbc comedy jokes 2006 vine's second needed theatre 2012
TTTA extracted 74 structured relationships around Tim Vine. Examples in this analysis include Tim Vine → Born → Timothy Mark Vine (1967-03-04) 4 March 1967 (age 59) Cheam, London, England and Tim Vine → Known for → One-liners, deadpan humour. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tim Vine | Born | Timothy Mark Vine (1967-03-04) 4 March 1967 (age 59) Cheam, London, England | 1.00 | infobox |
| Tim Vine | Known for | One-liners, deadpan humour | 1.00 | infobox |
| Tim Vine | Occupations | Comedian, actor, writer, presenter | 1.00 | infobox |
| Tim Vine | Relatives | Jeremy Vine (brother) Rachel Schofield (sister-in-law) | 1.00 | infobox |
| Tim Vine | Website | timvine.com | 1.00 | infobox |
| Tim Vine | Years active | 1994–present | 1.00 | infobox |
| The Tim Vine Shambles | instance of | with shows | 0.80 | text |
| The Tim Vine Fiasco | instance of | with shows | 0.80 | text |
| Tim Vine | related to Books | In | 0.60 | section |
| Tim Vine | related to Books | Vine | 0.60 | section |
| Tim Vine | related to Books | Sit-Down Comedy | 0.60 | section |
| Tim Vine | related to Books | The Biggest Ever Tim | 0.60 | section |
The concept neighborhoods around Tim Vine bring nearby vocabulary together. In this analysis, examples include Vine's, Tim and Vine. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tim Vine, one of the stronger structural bridges in this analysis connects Tim Vine with Career. 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 Tim Vine to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Tim Vine · EN edition · Analysis: TopicsToTalkAbout