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SciShow: History & Science
SciShow is a collection of YouTube channels that focuses on science news. The program is hosted by Hank Green along with a rotating cast of co-hosts. SciShow was launched as an original channel. The series has been consistently releasing new material since it was created in 2012.
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SciShow topic overview
The analysis highlights History and Science as prominent areas in the source structure around SciShow.
Related topics
25
Source areas
6
Connected nodes
31
Extracted relationships
86
Concept neighborhoods
11
Bridge connections
31
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.
Content · 17 topics
Overview · 3 topics
Production and hosting · 2 topics
History and funding · 1 topics
Podcast · 1 topics
Reception · 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.
Genre
Education
Country of origin
United States
Created by
Hank Green
Original language
English
Presented by
Hank Green · Michael Aranda · Stefan Chin · Reid Reimers
Production company
Complexly
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 SciShow 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 SciShow shows recurring relationship patterns in the source. For example, SciShow → Animal Wonders Montana, Anthony Brown, August, Brit Garner, Caitlin Hofmeister, Chicago, Emily Graslie, Gordon, Green, Hank Green, Jessi Knudsen Castañeda, June, Lindsey Doe, Michael Aranda, Missoula Insectarium, Olivia Gordon, Prior, Reid Reimers, Rose Bear Don't Walk, SciShow Kids Another extracted example is SciShow → April, As, February, January, Kids, March, November, Psych, SciShow Kids, SciShow Psych, SciShow Space, SciShow Tangents, Several, Space, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
SciShow
Top relations
related to Production and hosting· 28
SciShow → Animal Wonders Montana, Anthony Brown, August, Brit Garner, Caitlin Hofmeister, Chicago, Emily Graslie, Gordon, Green, Hank Green, Jessi Knudsen Castañeda, June, Lindsey Doe, Michael Aranda, Missoula Insectarium, Olivia Gordon, Prior, Reid Reimers, Rose Bear Don't Walk, SciShow Kids
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 86 structured relationships around SciShow. Examples in this analysis include SciShow → Country of origin → United States and SciShow → Created by → Hank Green. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
SciShow
Country of origin
United States
1.00
infobox
SciShow
Created by
Hank Green
1.00
infobox
SciShow
Genre
Education
1.00
infobox
SciShow
Original language
English
1.00
infobox
SciShow
Presented by
Hank Green
1.00
infobox
SciShow
Presented by
Michael Aranda
1.00
infobox
SciShow
Presented by
Stefan Chin
1.00
infobox
SciShow
Presented by
Reid Reimers
1.00
infobox
SciShow
Production company
Complexly
1.00
infobox
SciShow
Production location
Missoula, Montana
1.00
infobox
SciShow
Release
January 2, 2012 (2012-01-02) – present
1.00
infobox
SciShow
is a
collection of YouTube channels that focuses on science news
0.90
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 SciShow bring nearby vocabulary together. In this analysis, examples include Launched, Channel and Green. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
SciShow
Launched
Channel
Green
Science
Space
Psych
Podcast
Tangents
Topics
Hosts
Kids
March
scishow
Launched
Channel
Green
Science
Space
Psych
Podcast
Tangents
Topics
Hosts
Kids
March
hank green
Green
Hank
Hosting
Rotating
Chin
Stefan
Hosts
Michael
Scishow
Created
Content
Original
original channel
Content
Hosting
Michael
Production
Scishow
Chin
Created
Stefan
Launched
Subscribers
Youtube
Green
youtube
Channel
Channels
Content
Hosting
Michael
Original
Production
Chin
Created
Stefan
Hank
Psych
computer science
Several
Topics
March
Scishow
Psychology
Chin
Stefan
Tangents
Hosts
Kids
Youtube
Hank
content
Hosting
Michael
New
Original
Production
Chin
Created
Stefan
Space
Youtube
Hank
Podcast
production and hosting
Content
Michael
Original
Production
Chin
Stefan
Youtube
Psych
Since
Podcast
Launched
Scishow
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 SciShow, one of the stronger structural bridges in this analysis connects SciShow with Content. 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.
SciShow
Nodes32
Edges31
Triples86
Avg. degree1.94
Density0.0625
Components1
Source & methodology
TTTA analyzes the structure around SciShow to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
