Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
WNMB: History & Measurement
WNMB (900 AM, "El Gallo") is a radio station licensed to North Myrtle Beach, South Carolina, United States, and serves the greater Myrtle Beach area. The station is licensed by the Federal Communications Commission (FCC) to broadcast at 900 kHz with a power of 250 watts during the day and 80 watts at night. The station previously went by the name "AM…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
WNMB topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around WNMB.
Related topics
27
Source areas
3
Connected nodes
30
Extracted relationships
113
Concept neighborhoods
12
Bridge connections
30
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.
History · 14 topics
Overview · 10 topics
FM translators · 3 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
Steven Lara · (Gorilla Broadcasting Company, LLC)
Branding
El Gallo
Broadcast area
Grand Strand
Call sign meaning
"Wonderful North Myrtle Beach"
Class
D
Facility ID
49985
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 WNMB 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 WNMB shows recurring relationship patterns in the source. For example, WNMB → After, Also, AM, August, Beatty Broadcasting Company, Bill Norman, Coaches Show, FCC, FCC's CDBS, Gary Beatty, High School, In, Mr, Norman, Norman's, North Myrtle Beach Times, November, On May, Previously, The Another extracted example is WNMB → Andrulonis, April, Beach, Beatty Broadcasting, Carolina Country, Colonial, Colonial Radio Group, Effective June, Entertainment, Gorilla Broadcasting Company, In February, In May, Inc, Myrtle Beach, New York-based Colonial Media, Olean, On December, On November, The Drive, W238CJ. Use these groups to spot repeated connection types before inspecting the individual relationships.
WNMB
Top relations
related to After Bill Norman· 23
WNMB → After, Also, AM, August, Beatty Broadcasting Company, Bill Norman, Coaches Show, FCC, FCC's CDBS, Gary Beatty, High School, In, Mr, Norman, Norman's, North Myrtle Beach Times, November, On May, Previously, The
related to Sale to Colonial Radio Group· 22
WNMB → Andrulonis, April, Beach, Beatty Broadcasting, Carolina Country, Colonial, Colonial Radio Group, Effective June, Entertainment, Gorilla Broadcasting Company, In February, In May, Inc, Myrtle Beach, New York-based Colonial Media, Olean, On December, On November, The Drive, W238CJ
related to The Bill Norman years· 21
WNMB → Albemarle, All Request Beach Cafe, April, Bell, Bill Norman, Both, DJ, However, In, Larry Schropp, Norman, North Carolina, North Myrtle Beach, On January, Pine Avenue, Starting, Susi Norman, Ted Bell, Ted Bell's, WNMB FM
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 113 structured relationships around WNMB. Examples in this analysis include WNMB → Branding → El Gallo and WNMB → Broadcast area → Grand Strand. 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 WNMB bring nearby vocabulary together. In this analysis, examples include Fm, Norman and Beach. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
WNMB
Fm
Norman
Beach
Radio
Bill
North
Myrtle
Area
Carolina
Fcc
Broadcasting
Changed
wnmb
Fm
Norman
Beach
Radio
Bill
North
Myrtle
Area
Carolina
Fcc
Broadcasting
Changed
north myrtle beach, south carolina
Area
Beach
Myrtle
North
Carolina
El
Gallo
Radio
Bill
Wnmb
Owner
Translators
myrtle beach
Beach
Myrtle
North
Area
Carolina
Radio
Wnmb
Format
Death
Owner
El
Fcc
call sign
Sign
Wgsn
Translators
Changed
Fm
El
Gallo
Grand
Mexican
Strand
Wezv
Carolina
news radio
North
Myrtle
Colonial
Beach
Wnmb
Broadcasting
Grand
Later
Strand
Area
Carolina
Owner
albemarle, north carolina
Area
Myrtle
Beach
Carolina
North
El
Gallo
Radio
Bill
Owner
Translators
Fcc
north myrtle beach high school
Beach
Myrtle
North
Area
Carolina
Radio
Bill
Wnmb
Owner
Format
Death
Fcc
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 WNMB, one of the stronger structural bridges in this analysis connects WNMB 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
WNMB
Nodes31
Edges30
Triples113
Avg. degree1.94
Density0.064516
Components1
Source & methodology
TTTA analyzes the structure around WNMB 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 — WNMB · EN edition · Analysis: TopicsToTalkAbout
For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.
