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Dandadan: Measurement, Media & Reception
Dandadan (ダンダダン), also written as Dan Da Dan, is a Japanese web manga series written and illustrated by Yukinobu Tatsu. It has been serialized in Shueisha's Shōnen Jump+ app and website since April 2021, with its chapters collected in 24 tankōbon volumes as of June 2026. The series follows two teenagers with supernatural powers fighting yōkai and aliens…
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Dandadan topic overview
The analysis highlights Measurement, Media and Reception as prominent areas in the source structure around Dandadan.
Related topics
61
Source areas
5
Connected nodes
66
Extracted relationships
88
Concept neighborhoods
20
Bridge connections
66
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.
Media · 19 topics
Reception · 15 topics
Overview · 10 topics
Production · 9 topics
Plot · 8 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.
Genre
Action · Romantic comedy · Supernatural thriller
English publisher
NA: Viz Media
Imprint
Jump Comics+
Magazine
Shōnen Jump+
Original run
April 6, 2021 – present
Published by
Shueisha
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 Dandadan 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 Dandadan shows recurring relationship patterns in the source. For example, Dandadan → Along, Best Shōnen, Best Web Manga, Book, Cosmos, Da Vinci, Dekin, Fate Rewinder, Hirayasumi, In June, It, Manga Taishō, Mogura, Nationwide Bookstore Employees, Next Manga Award, Publisher Comics' Recommended Comics, Shogakukan Manga Award, Spanish Manga Barcelona Awards, Sugoi, Takarajimasha's Kono Manga Another extracted example is Dandadan → Chainsaw Man, Hayao Miyazaki, He, Hell's Paradise, Jarinko Chie, Jigokuraku, My Neighbor Totoro, Porco Rosso, Prior, Q2, Shōnen Jump, Tatsu, Tatsuki Fujimoto's Chainsaw Man, The, This, Yuji Kaku's Hell's Paradise, Yukinobu Tatsu. Use these groups to spot repeated connection types before inspecting the individual relationships.
Dandadan
Top relations
related to Accolades· 23
Dandadan → Along, Best Shōnen, Best Web Manga, Book, Cosmos, Da Vinci, Dekin, Fate Rewinder, Hirayasumi, In June, It, Manga Taishō, Mogura, Nationwide Bookstore Employees, Next Manga Award, Publisher Comics' Recommended Comics, Shogakukan Manga Award, Spanish Manga Barcelona Awards, Sugoi, Takarajimasha's Kono Manga
Dandadan → BookScan's, By November, Circana, December, Graphic Books, In North America, July, Manga, March, November, NPD, October, Shōnen Jump, The, The New York Times, They
related to Manga· 15
Dandadan → April, As, August, English, In February, June, October, Shueisha, Shueisha's Manga Plus, Shueisha's Shōnen Jump, The, Viz Media, Viz Media's Shonen Jump, Written, Yukinobu Tatsu
related to External links· 5
Dandadan → Anime News Network's, Japanese, Manga PlusDandadan, Shōnen Jump, Viz MediaDandadan
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 88 structured relationships around Dandadan. Examples in this analysis include Dandadan → English publisher → NA: Viz Media and Dandadan → Genre → Action. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Dandadan
English publisher
NA: Viz Media
1.00
infobox
Dandadan
Genre
Action
1.00
infobox
Dandadan
Genre
Romantic comedy
1.00
infobox
Dandadan
Genre
Supernatural thriller
1.00
infobox
Dandadan
Imprint
Jump Comics+
1.00
infobox
Dandadan
Magazine
Shōnen Jump+
1.00
infobox
Dandadan
Original run
April 6, 2021 – present
1.00
infobox
Dandadan
Published by
Shueisha
1.00
infobox
Dandadan
Volumes
24 (List of volumes)
1.00
infobox
Dandadan
Written by
Yukinobu Tatsu
1.00
infobox
My Neighbor Totoro
instance of
He also draws inspiration from the familial warmth of shared meals in Hayao Miyazaki films
0.80
text
Porco Rosso
instance of
He also draws inspiration from the familial warmth of shared meals in Hayao Miyazaki films
0.80
text
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 Dandadan bring nearby vocabulary together. In this analysis, examples include Tatsu, Yukinobu and Written. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Dandadan
Tatsu
Yukinobu
Written
Jump
Shōnen
Manga
Da
Media
Anime
Viz
Website
List
dandadan
Tatsu
Yukinobu
Written
Jump
Shōnen
Manga
Da
Media
Anime
Viz
Website
List
manga
Jump
Shōnen
Viz
List
Series
Media
Anime
Website
Written
Yukinobu
Ranked
Tatsu
shōnen jump+
Shōnen
Website
Shueisha's
Viz
April
Manga
Media
Tankōbon
Anime
Written
Yukinobu
Volumes
anime
Television
Adaptation
December
Media
Viz
October
Series
Jump
Shōnen
Dandadan
Yōkai
Aired
television series adaptation
December
Television
Anime
October
Yōkai
First
Viz
Aired
April
Jump
Written
Yukinobu
manga plus
Jump
Shōnen
Viz
List
Series
Media
Anime
Website
Written
Yukinobu
Ranked
Tatsu
next manga award
Jump
Shōnen
Viz
List
Series
Media
Anime
Website
Written
Yukinobu
Ranked
Tatsu
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 Dandadan, one of the stronger structural bridges in this analysis connects Dandadan with Media. 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.
Dandadan
Nodes67
Edges66
Triples88
Avg. degree1.97
Density0.029851
Components1
Source & methodology
TTTA analyzes the structure around Dandadan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Media & Reception, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
