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In computer displays, filmmaking, television production, video games and other kinetic displays, scrolling is sliding text, images or video across a monitor or display, vertically or horizontally. "Scrolling," as such, does not change the layout of the text or pictures but moves (pans or tilts) the user's view across what is apparently a larger image…
The analysis highlights Research and Products as prominent areas in the source structure around Scrolling.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Scrolling shows recurring relationship patterns in the source. For example, Scrolling → Donkey Kong, Early, Fonz, Galaxian, In, Moto-Cross, Nintendo Entertainment System, Nintendo's Radar Scope, Previously, Road Race, Sega's, Speed Race, Super Bug, Taito's, The Namco Galaxian Another extracted example is Scrolling → Adobe Reader, An, GUI, In, Older, PC-compatible, PDA, Some, Star7, Sun Microsystems, Touch-screens, Typically, When, WIMP-style. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
text often screen scroll display computer image also television user one video games used across may software fit vertically horizontally
TTTA extracted 74 structured relationships around Scrolling. Examples in this analysis include Scrolling → is a → multi-touch gesture and Scrolling → is a → method used in side-scrolling beat 'em up games with a downward camera angle where players can move up and down in addition to left and right. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Scrolling | is a | multi-touch gesture | 0.90 | text |
| Scrolling | is a | method used in side-scrolling beat 'em up games with a downward camera angle where players can move up and down in addition to left and right | 0.90 | text |
| graphics | instance of | In applications | 0.80 | text |
| spreadsheets there is often more content than can fit either the width or the height of the screen at a comfortable scale | instance of | In applications | 0.80 | text |
| and scrolling in both directions is necessary.Infinite scrollingIn contrast to material divided into discrete pages | instance of | In applications | 0.80 | text |
| the web design approach of infinite scrolling dynamically adds new material to the user display | instance of | In applications | 0.80 | text |
| leading to a continuous | instance of | In applications | 0.80 | text |
| apparently bottomless or endless scrolling experience.TextIn languages written horizontally | instance of | In applications | 0.80 | text |
| such as most Western languages | instance of | In applications | 0.80 | text |
| text documents longer than will fit on the screen are often displayed wrapped | instance of | In applications | 0.80 | text |
| sized to fit the screen width | instance of | In applications | 0.80 | text |
| and scrolled vertically to bring desired content into view | instance of | In applications | 0.80 | text |
The concept neighborhoods around Scrolling bring nearby vocabulary together. In this analysis, examples include Often, Display and Screen. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Scrolling, one of the stronger structural bridges in this analysis connects Scrolling with Computing. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Scrolling to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Research & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Scrolling · EN edition · Analysis: TopicsToTalkAbout