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WFMU (91.1 MHz) is a non-commercial, listener-supported, independent community radio station licensed to East Orange, New Jersey, with studios in Jersey City. It is owned by Auricle Communications, broadcasting a free-form radio format. The station holds periodic on-air fundraisers and seeks donation on its website.
The analysis highlights History and Measurement as prominent areas in the source structure around WFMU.
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 WFMU shows recurring relationship patterns in the source. For example, WFMU → Andrew Nealon, Apple, Audience Engine, Audience Engine’s, Bocoup, Bocoup's, Early, Google, InsertCulture, January, Joey Dehnert, Microsoft, Walmart, WordPress Another extracted example is WFMU → American Archive, Facility ID, FCC Licensing, FCCdata, Federal Communications Commission, Guide, History Cards, Management SystemW220EJ, Management SystemWFMU, Nielsen Audio's FM, Official, Public Broadcasting Facility, W220EJ. 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.
station radio audience new engine website york college mhz also jersey 91 auricle communications broadcasting development public orange independent transmitter
TTTA extracted 109 structured relationships around WFMU. Examples in this analysis include WFMU → Branding → 91.1 WFMU and WFMU → Broadcast area → New York metropolitan area. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| WFMU | Branding | 91.1 WFMU | 1.00 | infobox |
| WFMU | Broadcast area | New York metropolitan area | 1.00 | infobox |
| WFMU | Call sign meaning | FM Upsala College (former owner) | 1.00 | infobox |
| WFMU | Class | A | 1.00 | infobox |
| WFMU | ERP | 1,250 watts | 1.00 | infobox |
| WFMU | Facility ID | 3249 | 1.00 | infobox |
| WFMU | First air date | April 1958 (1958-04) | 1.00 | infobox |
| WFMU | Format | Free-form radio | 1.00 | infobox |
| WFMU | Frequency | 91.1 MHz | 1.00 | infobox |
| WFMU | HAAT | 151 meters (495 ft) | 1.00 | infobox |
| WFMU | Licensing authority | FCC | 1.00 | infobox |
| WFMU | Owner | Auricle Communications | 1.00 | infobox |
| WFMU | Public license information | Public file | 1.00 | infobox |
| WFMU | Public license information | LMS | 1.00 | infobox |
| WFMU | Repeater | 90.1 WMFU (Mount Hope, New York) | 1.00 | infobox |
| WFMU | Translator | 91.9 W220EJ (Weehawken) | 1.00 | infobox |
| WFMU | Transmitter coordinates | .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct,.mw-pars… | 1.00 | infobox |
| WFMU | Webcast | Listen live | 1.00 | infobox |
| WFMU | Website | wfmu.org | 1.00 | infobox |
| WFMU | is a | Class A station | 0.90 | text |
| WFMU | is a | place where the Singing Dogs are just as important as Elvis | 0.90 | text |
The concept neighborhoods around WFMU bring nearby vocabulary together. In this analysis, examples include York, Management and Website. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For WFMU, one of the stronger structural bridges in this analysis connects WFMU with The Audience Engine. 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 WFMU to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WFMU · EN edition · Analysis: TopicsToTalkAbout