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M. Ward: Music, Solo recordings & With other musicians
Matthew Stephen Ward (born October 4, 1973) is an American singer-songwriter, Grammy nominated producer and guitarist from Glendale, California. Ward's solo work is a mixture of folk and blues-inspired Americana analog recordings. He has released 12 studio albums since 1999, primarily through the independent label Merge Records. In addition to his solo…
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M. Ward topic overview
The analysis highlights Music, Solo recordings and With other musicians as prominent areas in the source structure around M. Ward.
Related topics
119
Source areas
5
Connected nodes
124
Extracted relationships
106
Concept neighborhoods
20
Bridge connections
124
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.
Solo recordings · 56 topics
With other musicians · 44 topics
Overview · 9 topics
Early life · 7 topics
She and Him · 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.
Born
Matthew Stephen Ward (1973-10-04) October 4, 1973 (age 52) Glendale, California, U.S.
Formerly of
Monsters of Folk
Genres
Indie folk · alternative country · American primitive guitar
Instruments
Vocals · guitar · bass · harmonica · piano
Labels
Merge · 4AD · Matador · Arts & Crafts México · Bella Union
Member of
She & Him
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 M. Ward 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 M. Ward shows recurring relationship patterns in the source. For example, M. Ward → Amnesia, April, December, Duet, End, For Beginners, Guitars, Hold Time, June, Migration Stories, More Rain, No, Post-War, September, Spring, Supernatural Thing, The Best, Think, Transfiguration, Transistor Radio Another extracted example is M. Ward → Beth Orton, Brian Wilson, Bright Eyes, Bruce Springsteen, Cat Power, Change, Comfort, Giant Sand, He, Him, In, Jenny Lewis, Kim Deal, Mavis Staples, My Morning Jacket, Neko Case, Rabbit Fur Coat, She, Spark, Strangers. Use these groups to spot repeated connection types before inspecting the individual relationships.
M. Ward
Top relations
related to Solo albums· 25
M. Ward → Amnesia, April, December, Duet, End, For Beginners, Guitars, Hold Time, June, Migration Stories, More Rain, No, Post-War, September, Spring, Supernatural Thing, The Best, Think, Transfiguration, Transistor Radio
related to Other artists· 24
M. Ward → Beth Orton, Brian Wilson, Bright Eyes, Bruce Springsteen, Cat Power, Change, Comfort, Giant Sand, He, Him, In, Jenny Lewis, Kim Deal, Mavis Staples, My Morning Jacket, Neko Case, Rabbit Fur Coat, She, Spark, Strangers
related to A Wasteland Companion and More Rain (2012–16)· 21
M. Ward → After, Bella Union, Folk, Him, March, Matthew McFarland, Merge, Metacritic, Monsters, More Rain, Neko Case, Peter Buck, Prefix, Reaching, Rolling Stone, She, US, Ward, Wasteland Companion, What's
M. Ward relationships Subject–Predicate–Object triples
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 106 structured relationships around M. Ward. Examples in this analysis include M. Ward → Born → Matthew Stephen Ward (1973-10-04) October 4, 1973 (age 52) Glendale, California, U.S. and M. Ward → Formerly of → Monsters of Folk. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
M. Ward
Born
Matthew Stephen Ward (1973-10-04) October 4, 1973 (age 52) Glendale, California, U.S.
1.00
infobox
M. Ward
Formerly of
Monsters of Folk
1.00
infobox
M. Ward
Genres
Indie folk
1.00
infobox
M. Ward
Genres
alternative country
1.00
infobox
M. Ward
Genres
American primitive guitar
1.00
infobox
M. Ward
Instruments
Vocals
1.00
infobox
M. Ward
Instruments
guitar
1.00
infobox
M. Ward
Instruments
bass
1.00
infobox
M. Ward
Instruments
harmonica
1.00
infobox
M. Ward
Instruments
piano
1.00
infobox
M. Ward
Instruments
keyboards
1.00
infobox
M. Ward
Instruments
mandolin
1.00
infobox
M. Ward
Instruments
xylophone
1.00
infobox
M. Ward
Instruments
percussion
1.00
infobox
M. Ward
Labels
Merge
1.00
infobox
M. Ward
Labels
4AD
1.00
infobox
M. Ward
Labels
Matador
1.00
infobox
M. Ward
Labels
Arts & Crafts México
1.00
infobox
M. Ward
Labels
Bella Union
1.00
infobox
M. Ward
Labels
Anti-
1.00
infobox
M. Ward
Member of
She & Him
1.00
infobox
M. Ward
Occupations
Singer-songwriter
1.00
infobox
M. Ward
Occupations
guitarist
1.00
infobox
M. Ward
Website
mwardmusic.com
1.00
infobox
M. Ward
Years active
1999–present
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
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 M. Ward bring nearby vocabulary together. In this analysis, examples include Album, Record and Released. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
folk
Monsters
Solo
Companion
Recording
Wasteland
Work
Recordings
Ward's
Albums
Artists
Guitar
Hold
merge records
Released
Records
Ward's
Radio
Transistor
Album
Post-war
Time
Ward
Solo
Companion
Hold
monsters of folk
Monsters
Solo
Companion
Recording
Wasteland
Work
Artists
Pop
Recordings
Ward's
Albums
Guitar
a wasteland companion
Wasteland
Guitar
Folk
Monsters
Solo
Recordings
Hold
Merge
October
Pop
Radio
Recording
solo recordings
Work
Recordings
Solo
Recording
Folk
Artists
Companion
Guitar
Wasteland
Ward's
Monsters
Album
hold time
Time
Post-war
Recordings
Companion
Guitar
Merge
October
Radio
Transfiguration
Transistor
Vincent
Wasteland
post-war
Time
Hold
Radio
Transfiguration
Transistor
Vincent
Recordings
Companion
Guitar
Wasteland
Ward
Critical
analog recordings
Solo
Albums
Artists
Companion
Guitar
Hold
Radio
Transfiguration
Transistor
Vincent
Wasteland
Work
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 M. Ward, one of the stronger structural bridges in this analysis connects M. Ward with Solo recordings. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
M. Ward — Solo recordings· splits 68 ⟂ 57M. Ward — With other musicians· splits 80 ⟂ 45M. Ward — Overview· splits 115 ⟂ 10M. Ward — Early life· splits 117 ⟂ 8M. Ward — She and Him· splits 121 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
M. Ward
Nodes125
Edges124
Triples106
Avg. degree1.98
Density0.016
Components1
Source & methodology
TTTA analyzes the structure around M. Ward to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Music, Solo recordings & With other musicians, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
