Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Flipboard is a news aggregator and social network aggregation company based in Palo Alto, California, with offices in New York, Vancouver, and Beijing. Its software, also known as Flipboard, was first released in July 2010. It aggregates content from social media, news feeds, photo sharing sites, and other websites, presents it in magazine format, and…
The analysis highlights History, Applications and Companies as prominent areas in the source structure around Flipboard.
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.
Explore different angles and find fresh ideas to shape your next piece of content.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
The extracted context around Flipboard shows recurring relationship patterns in the source. For example, Flipboard → Beginning, China, Existing, Facebook, February, Great Firewall, McCue, On May, Twitter Another extracted example is Flipboard → App, Apple, Apple's, Google Reader, Houston Chronicle, Techpad, Time, Year. 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.
android users also 2012 2010 content application company ios social app released march software magazines windows ipad new web news
TTTA extracted 51 structured relationships around Flipboard. Examples in this analysis include Flipboard → Android → Android4.2.105 / August 17, 2022; 4 years ago (2022-08-17)iOS4.2.154 / August 22, 2022; 4 years ago (2022-08-22) and Flipboard → Android → 4.2.105 / August 17, 2022; 4 years ago (2022-08-17). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Android | Android4.2.105 / August 17, 2022; 4 years ago (2022-08-17)iOS4.2.154 / August 22, 2022; 4 years ago (2022-08-22) | 1.00 | infobox | |
| Android | 4.2.105 / August 17, 2022; 4 years ago (2022-08-17) | 1.00 | infobox | |
| Developers | Mike McCue and Evan Doll | 1.00 | infobox | |
| iOS | 4.2.154 / August 22, 2022; 4 years ago (2022-08-22) | 1.00 | infobox | |
| License | Proprietary | 1.00 | infobox | |
| Operating system | iOS, Android, Tizen, watchOS, Fitbit OS, Windows, Windows Phone | 1.00 | infobox | |
| Release | July 21, 2010; 16 years ago (2010-07-21) | 1.00 | infobox | |
| Size | 19.4 MB (Android) 124 MB (iOS) | 1.00 | infobox | |
| Type | Social network aggregation | 1.00 | infobox | |
| Website | flipboard.com | 1.00 | infobox | |
| is a | news aggregator and social network aggregation company based in Palo Alto | 0.90 | text | |
| smart magazines | instance of | and implemented new features | 0.80 | text |
The concept neighborhoods around Flipboard bring nearby vocabulary together. In this analysis, examples include Android, Released and Ios. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Flipboard, one of the stronger structural bridges in this analysis connects Flipboard 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 Flipboard to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Flipboard · EN edition · Analysis: TopicsToTalkAbout