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WMJX: History, Culture & Music
WMJX (106.7 FM, "Magic 106.7") is a commercial radio station licensed to Boston, Massachusetts. Owned by Audacy, Inc., the station serves Greater Boston and much of surrounding New England with an adult contemporary format. WMJX's studios are located in Boston's Allston–Brighton neighborhood, while the transmitter resides on the Prudential Tower in…
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WMJX topic overview
The analysis highlights History, Culture and Music as prominent areas in the source structure around WMJX.
Related topics
77
Source areas
5
Connected nodes
82
Extracted relationships
121
Concept neighborhoods
32
Bridge connections
82
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 · 54 topics
Overview · 13 topics
Christmas music · 6 topics
References in popular culture · 3 topics
WMJX-HD2 · 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
Audacy, Inc. · (Audacy License, LLC)
Affiliations
Premiere Networks
Branding
Magic 106.7
Broadcast area
Greater Boston
Call sign meaning
Phonetic approximation of "magic"
Class
B
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 WMJX 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 WMJX shows recurring relationship patterns in the source. For example, WMJX → Arbitron, As, August, Bill Campbell, Bob, Boston, Cohen, Concurrently, David Allan Boucher, Detroit, Do You Believe, Doug Collins, Downtown Boston, Due, During, Ed Brand, FM, Greater Media, Group, ID Another extracted example is WMJX → AC, Beasley, Beasley Media Group, CBS Radio, December, Department, Entercom, FCC, Federal Communications Commission, Greater Media, Justice, October, On July, On November, The, The FCC, WBMX, WBZ-FM. Use these groups to spot repeated connection types before inspecting the individual relationships.
WMJX
Top relations
related to Switch to Magic· 47
WMJX → Arbitron, As, August, Bill Campbell, Bob, Boston, Cohen, Concurrently, David Allan Boucher, Detroit, Do You Believe, Doug Collins, Downtown Boston, Due, During, Ed Brand, FM, Greater Media, Group, ID
related to Ownership changes· 18
WMJX → AC, Beasley, Beasley Media Group, CBS Radio, December, Department, Entercom, FCC, Federal Communications Commission, Greater Media, Justice, October, On July, On November, The, The FCC, WBMX, WBZ-FM
related to Christmas music· 16
WMJX → AC, Christmas, Christmas Day, Christmas Eve, COVID-19, December, For, Friday, However, In, It, November, Since, Thanksgiving, The Magic Of Christmas, WROR-FM
related to WMJX-HD2· 8
WMJX → Christmas, December, During, HD2, In, In November, November, WMJX-HD2
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 121 structured relationships around WMJX. Examples in this analysis include WMJX → Affiliations → Premiere Networks and WMJX → Branding → Magic 106.7. 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 WMJX bring nearby vocabulary together. In this analysis, examples include Christmas, Magic and Format. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
WMJX
Christmas
Magic
Format
Music
Radio
Broadcast
Ownership
Program
Stations
Fm
Greater
Station
wmjx
Christmas
Magic
Format
Music
Radio
Broadcast
Ownership
Program
Stations
Fm
Greater
Station
fm
Commercial
License
Mhz
Wbz-fm
Fcc
Radio
Station
Magic
Boston
Inc
Wmjx
Audacy
boston, massachusetts
Magic
Adult
Contemporary
Greater
Station
Tower
Format
Radio
Inc
Audacy
First
Transmitter
audacy, inc.
Iheartradio
Inc
License
Mhz
Contemporary
Greater
Radio
Adult
Broadcast
Frequency
Ownership
Format
greater boston
Media
Magic
Contemporary
Adult
Greater
New
Format
Station
Tower
Inc
Radio
Ownership
downtown boston
Magic
Adult
Contemporary
Greater
Station
Tower
Format
Radio
Inc
Audacy
First
Transmitter
audacy
Iheartradio
Inc
License
Mhz
Radio
Adult
Contemporary
Greater
Magic
Boston
Broadcast
First
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 WMJX, one of the stronger structural bridges in this analysis connects WMJX 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.
WMJX
Nodes83
Edges82
Triples121
Avg. degree1.98
Density0.024096
Components1
Source & methodology
TTTA analyzes the structure around WMJX to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Culture & Music, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WMJX · EN edition · Analysis: TopicsToTalkAbout
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