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The Panama Papers (Spanish: Papeles de Panamá) are 11.5 million leaked documents (2.6 terabytes of data) published from April 3, 2016. The papers detail financial and attorney–client information for more than 214,488 offshore entities. These documents, some dating back to the 1970s, were created by, and taken from, the former Panamanian offshore law firm…
The analysis highlights Companies, Tax haven and Newsroom logistics as prominent areas in the source structure around Panama Papers.
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 Panama Papers shows recurring relationship patterns in the source. For example, Panama Papers → Attorney General's, Bella Vista, Financial Analysis Unit, Financial Subjects, Following, Mossack Fonseca, On April, Organized Crime, Panama, Panama City, Panamanian, Regulation, Second Specialized Prosecutor, Supervision, The Municipality, UAF, Violation Another extracted example is Panama Papers → Edward Snowden, Gerard Ryle, ICIJ, Micah White, Occupy, The ICIJ, Twitter, WikiLeaks. 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.
mossack panama fonseca documents said papers companies tax 2016 offshore company icij also international leaked april shell former law financial
TTTA extracted 25 structured relationships around Panama Papers. Examples in this analysis include Panama Papers → related to Law enforcement → On April and Panama Papers → related to Law enforcement → Attorney General's. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Panama Papers | related to Law enforcement | On April | 0.60 | section |
| Panama Papers | related to Law enforcement | Attorney General's | 0.60 | section |
| Panama Papers | related to Law enforcement | Mossack Fonseca | 0.60 | section |
| Panama Papers | related to Law enforcement | Panama | 0.60 | section |
| Panama Papers | related to Law enforcement | Second Specialized Prosecutor | 0.60 | section |
| Panama Papers | related to Law enforcement | Organized Crime | 0.60 | section |
| Panama Papers | related to Law enforcement | Panama City | 0.60 | section |
| Panama Papers | related to Law enforcement | Bella Vista | 0.60 | section |
| Panama Papers | related to Law enforcement | Following | 0.60 | section |
| Panama Papers | related to Law enforcement | The Municipality | 0.60 | section |
| Panama Papers | related to Law enforcement | Regulation | 0.60 | section |
| Panama Papers | related to Law enforcement | Supervision | 0.60 | section |
The concept neighborhoods around Panama Papers bring nearby vocabulary together. In this analysis, examples include Papers, Said and Mossack. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Panama Papers, one of the stronger structural bridges in this analysis connects Panama Papers with People named. 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 Panama Papers to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Tax haven & Newsroom logistics, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Panama Papers · EN edition · Analysis: TopicsToTalkAbout