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MassRoots is a social network for the cannabis community. As of June 2016, it had an estimated 900,000 users. MassRoots for Business, the company’s advertising portal, has an estimated 1,000 clients as of June 2015. In 2014, MassRoots was one of the first cannabis-related companies to go public through a Registration Statement on Form S-1 and trades…
The analysis highlights History, Companies and Measurement as prominent areas in the source structure around MassRoots.
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 MassRoots shows recurring relationship patterns in the source. For example, MassRoots → App Store, Dietrich, Facebook, Hyler Fortier, Hyler’s, In April, Instagram, Isaac Dietrich, July, Photoshop, Reddit, Silicon Valley, Stewart Fortier, They, Tyler Knight Another extracted example is MassRoots → As, Dietrich, Exchange Commission, Form S-1, March, MassRoots’ S-1, Over, Registration Statement, Securities, September, Silicon Valley. 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.
000 cannabis users first 2015 application stock app store dietrich 2014 ios apple social one public 2013 massroots’ cannabis-related go
TTTA extracted 63 structured relationships around MassRoots. Examples in this analysis include MassRoots → is a → social network for the cannabis community and MassRoots → related to ArcView Group and seed round → Dietrich. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MassRoots | is a | social network for the cannabis community | 0.90 | text |
| MassRoots | related to ArcView Group and seed round | Dietrich | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | The ArcView Group | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | Steve DeAngelo | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | Troy Dayton | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | September | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | At | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | Douglas Leighton | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | Dutchess Capital | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | Over | 0.60 | section |
| MassRoots | related to ArcView Group and seed round | Android | 0.60 | section |
| MassRoots | related to Banned from iOS App Store, user campaign, and reversal | App Store | 0.60 | section |
The concept neighborhoods around MassRoots bring nearby vocabulary together. In this analysis, examples include Users, App and Store. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MassRoots, one of the stronger structural bridges in this analysis connects MassRoots 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 MassRoots to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MassRoots · EN edition · Analysis: TopicsToTalkAbout