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Dragon Con (previously Dragon*Con and sometimes DragonCon) is a North American multigenre convention, founded in 1987, which takes place annually over the Labor Day weekend in Atlanta, Georgia. As of 2017, the convention draws attendance of over 80,000. It features hundreds of guests, encompasses five hotels in the Peachtree Center neighborhood of…
The analysis highlights History, Economy, Events and Science as prominent areas in the source structure around Dragon Con.
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 Dragon Con shows recurring relationship patterns in the source. For example, Dragon Con → Abney Park, Astroman, Awards, Bella Morte, Black Tape, Blue, Blue Girl, Celldweller, Chick Corea, Cult, Edgar Winter, Ego Likeness, Emerald Rose, From, Ghost, Godhead, Gwar, Iced Earth, Jefferson Starship, Man Another extracted example is Dragon Con → Alice Cooper, Anne McCaffrey, August, Carmine Infantino, Dragon Awards, Forrest Ackerman, Harlan Ellison, In, In March, Jim Steranko, Julie, Julie Award, Julius, Neil Gaiman, Participation, Paul Dini, Peter David, Ray Bradbury, Schwartz, September. 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.
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TTTA extracted 138 structured relationships around Dragon Con. Examples in this analysis include Dragon Con → Attendance → 80,000+ in 2017 and Dragon Con → Coordinates → .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct,.mw-pars…. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Dragon Con | Attendance | 80,000+ in 2017 | 1.00 | infobox |
| Dragon Con | Coordinates | .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct,.mw-pars… | 1.00 | infobox |
| Dragon Con | Country | United States | 1.00 | infobox |
| Dragon Con | Filing status | For-profit | 1.00 | infobox |
| Dragon Con | Genre | Multigenre | 1.00 | infobox |
| Dragon Con | Inaugurated | 1987; 39 years ago (1987) | 1.00 | infobox |
| Dragon Con | Locations | Atlanta, Georgia | 1.00 | infobox |
| Dragon Con | Organized by | Rachel Reeves and David Cody, Co-Chairmen | 1.00 | infobox |
| Dragon Con | Status | Active | 1.00 | infobox |
| Dragon Con | Venue | Hyatt Regency Atlanta, Atlanta Marriott Marquis, Atlanta Hilton and Towers, Courtland Grand Hotel (Formerly Sheraton Atlanta), Westin Peachtree Plaza, AmericasMart | 1.00 | infobox |
| Dragon Con | Website | www.dragoncon.org | 1.00 | infobox |
| Dragon Con | is a | five-day event | 0.90 | text |
The concept neighborhoods around Dragon Con bring nearby vocabulary together. In this analysis, examples include Dragon, Event and Fiction. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Dragon Con, one of the stronger structural bridges in this analysis connects Dragon Con with Scheduled events. 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 Dragon Con to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Economy, Events & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Dragon Con · EN edition · Analysis: TopicsToTalkAbout