Sharon Daniel

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Sharon Daniel topic overview

The analysis highlights Works and Art as prominent areas in the source structure around Sharon Daniel.

Related topics: 10
Source areas: 2
Connected nodes: 13
Extracted relationships: 32
Concept neighborhoods: 9
Bridge connections: 13

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.

Projects · 6 topics

Overview · 4 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.

Known for: New Media Art, Film, Digital Media
Notable work: Public Secrets, Need_X_Change, Narrative Contingencies, Palabras
Awards: 2008 Media Arts Fellowship from the Tribeca Film Institute Honoree at the 11th Annual Webby Awards
Education: MFA University of Tennessee, Knoxville; MM University of Texas, Austin; BM Baylor University

Explore all related topics Closing gaps

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.

Overview

Projects

Archive
Prison Industrial Complex Prison-industrial complex
Vectors Journal Vectors (journal)
The NEXT Museum, Archive, and Preservation Space The NEXT Museum
Marjorie Luesebrink
Restorative justice

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Sharon Daniel connects Entity context

The extracted context around Sharon Daniel shows recurring relationship patterns in the source. For example, Sharon Daniel → Archive, Blood Sugar, Like Public Secrets, Marjorie Luesebrink, Preservation Space, Public Secrets, Sharon Daniels Blood Sugar, Steve Anderson, The NEXT Museum, These, This, Vectors Journal, WomenTechLit Another extracted example is Sharon Daniel → An Aesthetics, Biography, Category, Daniel's The Database, DignityDatabase Aesthetics, DistanceList, Issues, Media Art Net, Online ArtSharon Daniel, Organization, PalabrasPublic SecretsBlood SugarInside, Sharon Daniel's. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Blood Sugar, 2011 · 13

Sharon Daniel → Archive, Blood Sugar, Like Public Secrets, Marjorie Luesebrink, Preservation Space, Public Secrets, Sharon Daniels Blood Sugar, Steve Anderson, The NEXT Museum, These, This, Vectors Journal, WomenTechLit

related to External links · 12

Sharon Daniel → An Aesthetics, Biography, Category, Daniel's The Database, DignityDatabase Aesthetics, DistanceList, Issues, Media Art Net, Online ArtSharon Daniel, Organization, PalabrasPublic SecretsBlood SugarInside, Sharon Daniel's

Awards · 1

Sharon Daniel → 2008 Media Arts Fellowship from the Tribeca Film Institute Honoree at the 11th Annual Webby Awards

Education · 1

Sharon Daniel → MFA University of Tennessee, Knoxville; MM University of Texas, Austin; BM Baylor University

Known for · 1

Sharon Daniel → New Media Art, Film, Digital Media

Notable work · 1

Sharon Daniel → Public Secrets, Need_X_Change, Narrative Contingencies, Palabras

is a · 1

Sharon Daniel → digital media artist and a professor in the Film and Digital Media department and serves as chair for the Digital Arts and New Media MFA program at the University of California

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

media public secrets daniel digital california justice department daniel's stories palabras blood sugar projects arts new published corrections inmates database

Sharon Daniel relationships Subject–Predicate–Object triples

TTTA extracted 32 structured relationships around Sharon Daniel. Examples in this analysis include Sharon Daniel → Awards → 2008 Media Arts Fellowship from the Tribeca Film Institute Honoree at the 11th Annual Webby Awards and Sharon Daniel → Education → MFA University of Tennessee, Knoxville; MM University of Texas, Austin; BM Baylor University. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Sharon Daniel	Awards	2008 Media Arts Fellowship from the Tribeca Film Institute Honoree at the 11th Annual Webby Awards	1.00	infobox
Sharon Daniel	Education	MFA University of Tennessee, Knoxville; MM University of Texas, Austin; BM Baylor University	1.00	infobox
Sharon Daniel	Known for	New Media Art, Film, Digital Media	1.00	infobox
Sharon Daniel	Notable work	Public Secrets, Need_X_Change, Narrative Contingencies, Palabras	1.00	infobox
Sharon Daniel	is a	digital media artist and a professor in the Film and Digital Media department and serves as chair for the Digital Arts and New Media MFA program at the University of California	0.90	text
Sarai	instance of	Her essays have been published in analytical and research journals	0.80	text
Leonardo	instance of	Her essays have been published in analytical and research journals	0.80	text
Sharon Daniel	related to Blood Sugar, 2011	Blood Sugar	0.60	section
Sharon Daniel	related to Blood Sugar, 2011	Public Secrets	0.60	section
Sharon Daniel	related to Blood Sugar, 2011	These	0.60	section
Sharon Daniel	related to Blood Sugar, 2011	Steve Anderson	0.60	section
Sharon Daniel	related to Blood Sugar, 2011	Like Public Secrets	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Sharon Daniel bring nearby vocabulary together. In this analysis, examples include Media, Arts and Blood. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Sharon Daniel
- Media
- Arts
- Blood
- Facilities
- New
- Projects
- Sharon
- Sugar
- Department
- Digital
- Dignity
- Organization
sharon daniel
- Media
- Organization
- Arts
- Blood
- Facilities
- New
- Projects
- Sharon
- Sugar
- Daniel's
- Department
- Digital
digital media
- New
- California
- Film
- Mfa
- University
- Arts
- Projects
- Communities
- Department
- Media
- Allowed
- Ban
university of california, santa cruz
- Department
- Media
- Ban
- Film
- Mfa
- University
- Corrections
- Facilities
- New
- Projects
- Digital
- Interactive
archive
- Blood
- Sugar
- Communities
- Public
- Secrets
- Work
- Interactive
- Cultural
- Film
- Mfa
- Palabras
- University
the next museum, archive, and preservation space
- Blood
- Sugar
- Communities
- Public
- Secrets
- Work
- Interactive
- Cultural
- Film
- Mfa
- Palabras
- University
projects
- Allowed
- Ban
- Center
- Now
- Organization
- Palabras
- Research
- University
- Archive
- Communities
- Corrections
- Facilities
film
- Mfa
- University
- Arts
- New
- California
- Palabras
- Media
- Archive
- Communities
- Projects
- Sharon
- Work

Connections between topic areas Semantic bridges

For Sharon Daniel, one of the stronger structural bridges in this analysis connects Sharon Daniel with Projects. 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

Sharon Daniel — Projects · splits 7 ⟂ 7

Sharon Daniel — Overview · splits 8 ⟂ 6

Map overview Semantic statistics

Sharon Daniel

Nodes14

Edges13

Triples32

Avg. degree1.86

Density0.142857

Components1

Source & methodology

TTTA analyzes the structure around Sharon Daniel to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Sharon Daniel · EN edition · Analysis: TopicsToTalkAbout