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MindMeister is an online mind mapping application that allows its users to visualize, share and present their thoughts via the cloud. MindMeister was launched in 2007 by MeisterLabs GmbH, a German software company founded by Michael Hollauf and Till Vollmer. After 17 years in the market, MindMeister has more than 7 million users who created more than a…
The analysis highlights Companies, Development and Milestones as prominent areas in the source structure around MindMeister.
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 MindMeister shows recurring relationship patterns in the source. For example, MindMeister → Abraham, Adaptation, Andy, Another, App Sold, Applications, Apps, April, Bontcheva, Brainstorm Sessions, Computational Social Networks, Computer Science, Conduct Your Most Epic, Conlan, Create, Data Visualizations, December, Dublin, Eaton, Hassanien Another extracted example is MindMeister → Android, AppleWatch, BiggerPlate, Comments, DIVs, Europe Award, Geistesblitz, Google Apps Marketplace, Google Cloud Premier Partner, Google Docs, Google Drive, Google Hangouts, History View, In, MindMeister Groups, MindMeister's, New, New Map Layouts, On February, Red Herring. 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.
mind maps released retrieved google august 2016 2015 mapping share via users cloud added online 2007 software mindmanager isbn also
TTTA extracted 101 structured relationships around MindMeister. Examples in this analysis include MindMeister → Available in → 12 languages and MindMeister → Developer → MeisterLabs GmbH. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MindMeister | Available in | 12 languages | 1.00 | infobox |
| MindMeister | Developer | MeisterLabs GmbH | 1.00 | infobox |
| MindMeister | License | Freemium | 1.00 | infobox |
| MindMeister | Operating system | web, iOS, Android | 1.00 | infobox |
| MindMeister | Type | Web productivity tools | 1.00 | infobox |
| MindMeister | Website | mindmeister.com | 1.00 | infobox |
| MindMeister | is a | online mind mapping application that allows its users to visualize | 0.90 | text |
| MindMeister | related to Development | The | 0.60 | section |
| MindMeister | related to Development | Michael Hollauf | 0.60 | section |
| MindMeister | related to Development | Till Vollmer | 0.60 | section |
| MindMeister | related to Development | Writely | 0.60 | section |
| MindMeister | related to Development | Google Docs | 0.60 | section |
The concept neighborhoods around MindMeister bring nearby vocabulary together. In this analysis, examples include Released, Google and Mind. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MindMeister, one of the stronger structural bridges in this analysis connects MindMeister with Overview. 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 MindMeister to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Development & Milestones, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MindMeister · EN edition · Analysis: TopicsToTalkAbout