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Mt. Gox was a bitcoin exchange based in Shibuya, Tokyo, Japan. Launched in 2010, it was handling over 70% of all bitcoin transactions worldwide by early 2014, when it abruptly ceased operations amid revelations of its involvement in the loss/theft of hundreds of thousands of bitcoin, then worth hundreds of millions in US dollars.
The analysis highlights History and Companies as prominent areas in the source structure around Mt. Gox.
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 Mt. Gox shows recurring relationship patterns in the source. For example, Mt. Gox → Accounts, Bitcoins, Block, French, Gox, Gox's, He, In, In March, Japan, June, Mark Karpelès, McCaleb, Mt, On, So I've, The, To, Within Another extracted example is Mt. Gox → Gox, In, In January, In July, Initially, Jed McCaleb, July, Magic, McCaleb, Mt, On, Slashdot, The Far Wilds, The Gathering Online. 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.
mt gox bitcoin 2014 bitcoins exchange february 2013 company tokyo karpelès bankruptcy withdrawals creditors april website million 000 time trading
TTTA extracted 68 structured relationships around Mt. Gox. Examples in this analysis include Mt. Gox → Closed → 2014 and Mt. Gox → Currency → Bitcoin (BTC). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mt. Gox | Closed | 2014 | 1.00 | infobox |
| Mt. Gox | Currency | Bitcoin (BTC) | 1.00 | infobox |
| Mt. Gox | Founded | 2010 (2010) | 1.00 | infobox |
| Mt. Gox | Location | Shibuya, Tokyo, Japan | 1.00 | infobox |
| Mt. Gox | Owner | Tibanne Ltd. | 1.00 | infobox |
| Mt. Gox | Type | Bitcoin exchange | 1.00 | infobox |
| Mt. Gox | Website | www.mtgox.com | 1.00 | infobox |
| Mt. Gox | related to 2011: Security issues | In March | 0.60 | section |
| Mt. Gox | related to 2011: Security issues | McCaleb | 0.60 | section |
| Mt. Gox | related to 2011: Security issues | French | 0.60 | section |
| Mt. Gox | related to 2011: Security issues | Mark Karpelès | 0.60 | section |
| Mt. Gox | related to 2011: Security issues | Japan | 0.60 | section |
The concept neighborhoods around Mt. Gox bring nearby vocabulary together. In this analysis, examples include Mt, Bitcoins and Bankruptcy. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Mt. Gox, one of the stronger structural bridges in this analysis connects Mt. Gox 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 Mt. Gox to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Mt. Gox · EN edition · Analysis: TopicsToTalkAbout