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Popular Science (also known as PopSci) is an American popular science website, covering science and technology topics geared toward general readers. Its print magazine, which ran from 1872 to 2020, was translated into over 30 languages and distributed to at least 45 countries. In 2021, Popular Science switched to an all-digital format and abandoned the…
The analysis highlights History, Technology, Science and Companies as prominent areas in the source structure around Popular Science.
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 Popular Science shows recurring relationship patterns in the source. For example, Popular Science → After, By, Cattell, Electrician, In, It, Mechanic, Mechanics, Modern Electrics, Modern Mechanics, Modern Publishing Company, November, Popular Electricity, Popular Science Monthly, Science, Scientific Monthly, September, The, The Scientific Monthly, World's Advance Another extracted example is Popular Science → Appleton, Appleton's Journal, Charles Darwin, Charles Sanders Peirce, Company, Early, Edward, English, Henry Ward Beecher, James McKeen Cattell, John Dewey, John Shaw Billings, Louis Pasteur, May, The, The Popular Science Monthly, Thomas Edison, Thomas Henry Huxley, William James, Youmans. 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.
science popular magazine new company publishing issue monthly launched also may publication popsci website general journal version american time digital
TTTA extracted 127 structured relationships around Popular Science. Examples in this analysis include Popular Science → Based in → New York, New York and Popular Science → Categories → Interdisciplinary. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Popular Science | Based in | New York, New York | 1.00 | infobox |
| Popular Science | Categories | Interdisciplinary | 1.00 | infobox |
| Popular Science | Company | Recurrent Ventures | 1.00 | infobox |
| Popular Science | Country | United States | 1.00 | infobox |
| Popular Science | Final issue | April 27, 2021 (print) | 1.00 | infobox |
| Popular Science | Founded | May 1872; 154 years ago (1872-05) (as The Popular Science Monthly) | 1.00 | infobox |
| Popular Science | Frequency | Fully digital | 1.00 | infobox |
| Popular Science | General Manager | Adam Morath | 1.00 | infobox |
| Popular Science | ISSN | 0161-7370 | 1.00 | infobox |
| Popular Science | OCLC | 488612811 | 1.00 | infobox |
| Popular Science | Total circulation | 1,321,075 (June 2014) | 1.00 | infobox |
| Popular Science | Website | popsci.com | 1.00 | infobox |
The concept neighborhoods around Popular Science bring nearby vocabulary together. In this analysis, examples include Science, Launched and Website. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Popular Science, one of the stronger structural bridges in this analysis connects Popular Science with Magazine 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 Popular Science to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Science & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Popular Science · EN edition · Analysis: TopicsToTalkAbout