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WMNF: History, Members, Art & Measurement
WMNF (88.5 FM) is a non-commercial radio station licensed to Tampa, Florida. Owned by the Nathan B. Stubblefield Foundation, it airs a community radio format. WMNF is supported by listener contributions and has studios on East Dr. Martin Luther King Jr. Boulevard in Tampa.
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WMNF topic overview
The analysis highlights History, Members, Art and Measurement as prominent areas in the source structure around WMNF.
Related topics
34
Source areas
6
Connected nodes
40
Extracted relationships
97
Concept neighborhoods
20
Bridge connections
40
What this topic covers Research coverage
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.
Programs and personnel · 14 topics
Facilities · 7 topics
Overview · 7 topics
Controversies · 4 topics
HD channels · 1 topics
History · 1 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Owner
Nathan B. Stubblefield Foundation
Affiliations
Pacifica Radio Network · NPR
Branding
WMNF Listener-Sponsored Community Radio
Broadcast area
Tampa Bay
Call sign meaning
Member–supported Non–commercial FM
Class
C1
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How WMNF connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around WMNF shows recurring relationship patterns in the source. For example, WMNF → AAA, Acoustic, Adult Album Alternative, Alternative Rock, Big Band, Bluegrass, Blues, Celtic, Experimental, Folk, Gospel, Jazz, Jazz Blues, Jewish, New Wave, Nostalgia, Reggae, Rockabilly, Salsa, Since Another extracted example is WMNF → Florida State Senator John, Free, General Manager Craig Kopp, Grant, Greg Louganis, In, Iris DeMent's, LGBTQ, News Director Rob Lorei, Olympic, On February, Rob Lorei, South Florida, State Senator Grant's, Then Program Director Randy, There, University, Wasteland, WMNF's, Wynne. Use these groups to spot repeated connection types before inspecting the individual relationships.
WMNF
Top relations
related to Programs and personnel· 24
WMNF → AAA, Acoustic, Adult Album Alternative, Alternative Rock, Big Band, Bluegrass, Blues, Celtic, Experimental, Folk, Gospel, Jazz, Jazz Blues, Jewish, New Wave, Nostalgia, Reggae, Rockabilly, Salsa, Since
related to Controversies· 20
WMNF → Florida State Senator John, Free, General Manager Craig Kopp, Grant, Greg Louganis, In, Iris DeMent's, LGBTQ, News Director Rob Lorei, Olympic, On February, Rob Lorei, South Florida, State Senator Grant's, Then Program Director Randy, There, University, Wasteland, WMNF's, Wynne
related to Facilities· 12
WMNF → Bradenton, CDs, Clearwater, Fort Meade, HAAT, In, Jewish, Lakeland, Mike Eisenstadt, Sunday Simcha, Sundays, The
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 97 structured relationships around WMNF. Examples in this analysis include WMNF → Affiliations → Pacifica Radio Network and WMNF → Affiliations → NPR. The table shows each extracted connection, where it came from and its confidence.
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around WMNF bring nearby vocabulary together. In this analysis, examples include Station, Music and Radio. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
WMNF
Station
Music
Radio
Community
Rob
Tampa
Craig
Kopp
Director
News
Fm
Hd
wmnf
Station
Music
Radio
Community
Rob
Tampa
Craig
Kopp
Director
News
Fm
Hd
community radio
Bay
Tampa
Community
Radio
Hd
Lorei
Rob
Area
Florida
Wmnf
Board
Station
tampa, florida
Bay
Community
Lorei
Rob
Area
Radio
Florida
Tampa
Wmnf
First
Fm
Hd
tampa bay times
Bay
Tampa
Community
Lorei
Radio
Rob
Area
Florida
Wmnf
First
Hd
Nathan
hd radio
Community
Tampa
Bay
Hd
Radio
Nathan
Florida
Area
Programs
Talk
Wmnf
Station
soul music
Gospel
Shows
Blues
Soul
Jazz
New
Wmnf
Show
Nathan
Aired
Facility
Programs
celtic music
Shows
Blues
Gospel
Soul
Jazz
New
Wmnf
Show
Nathan
Aired
Facility
Programs
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For WMNF, one of the stronger structural bridges in this analysis connects WMNF with Programs and personnel. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
WMNF
Nodes41
Edges40
Triples97
Avg. degree1.95
Density0.04878
Components1
Source & methodology
TTTA analyzes the structure around WMNF to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Members, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WMNF · EN edition · Analysis: TopicsToTalkAbout
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