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KDVS (90.3 FM) is a student-run college and community radio station based in Davis, California. Featuring a free-form radio format, the station is owned by Regents of the University of California. Broadcasting at 13,000 watts, it is one of the most powerful free-form university-based radio stations in the United States.
The analysis highlights History and Measurement as prominent areas in the source structure around KDVS.
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 KDVS shows recurring relationship patterns in the source. For example, KDVS → AM, Associated Students, Beckett Hall, Beckett-Hughes, By, Class, February, January, KCD, Memorial Union, October, The, The FCC, Two, UC Davis, Using Another extracted example is KDVS → Andy's Poetry, Davis, Dr, In, KDViationS, KDVS Recordings, Radio Parallax, Sacramento, Science, Technology Hour, The, This Week. 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 fcc broadcast 000 watts davis california free-form fm 90 university 13 united states years stations also frequency former
TTTA extracted 68 structured relationships around KDVS. Examples in this analysis include KDVS → Affiliations → Pacifica Radio and KDVS → Broadcast area → Central Valley. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| KDVS | Affiliations | Pacifica Radio | 1.00 | infobox |
| KDVS | Broadcast area | Central Valley | 1.00 | infobox |
| KDVS | Call sign meaning | Davis | 1.00 | infobox |
| KDVS | Class | B1 | 1.00 | infobox |
| KDVS | ERP | 13,000 watts | 1.00 | infobox |
| KDVS | Facility ID | 69345 | 1.00 | infobox |
| KDVS | First air date | January 2, 1968 (1968-01-02) | 1.00 | infobox |
| KDVS | Format | Free-form radio | 1.00 | infobox |
| KDVS | Former call signs | KCD (carrier current) | 1.00 | infobox |
| KDVS | Frequency | 90.3 MHz | 1.00 | infobox |
| KDVS | HAAT | 56 meters (184 ft) | 1.00 | infobox |
| KDVS | Language | English | 1.00 | infobox |
| KDVS | Licensing authority | FCC | 1.00 | infobox |
| KDVS | Owner | University of California, Davis | 1.00 | infobox |
| KDVS | Public license information | Public file | 1.00 | infobox |
| KDVS | Public license information | LMS | 1.00 | infobox |
| KDVS | 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 |
| KDVS | Webcast | Listen live (via TuneIn) | 1.00 | infobox |
| KDVS | Website | kdvs.org | 1.00 | infobox |
The concept neighborhoods around KDVS bring nearby vocabulary together. In this analysis, examples include Radio, Station and Davis. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For KDVS, one of the stronger structural bridges in this analysis connects KDVS with Notable station alumni. 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 KDVS 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 — KDVS · EN edition · Analysis: TopicsToTalkAbout