MTASC

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:

MTASC topic overview

The analysis highlights Companies and Overview as prominent areas in the source structure around MTASC.

Related topics: 9
Source areas: 1
Connected nodes: 10
Extracted relationships: 15
Concept neighborhoods: 11
Bridge connections: 10

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.

Overview · 9 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.

Developer: Tristan Schmelcher
Final release: 1.15 / October 7, 2009; 16 years ago (2009-10-07)
License: GPL 2
Original author: Nicolas Cannasse
Release: October 25, 2004; 21 years ago (2004-10-25)
Repository: github.com/ncannasse/mtasc

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

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 MTASC connects Entity context

The extracted context around MTASC shows recurring relationship patterns in the source. For example, MTASC → Flashlets, GitHubThe MTASC Community Fork, Official, OrganicDesign Wiki, SourceForgeExtension Another extracted example is MTASC → Tristan Schmelcher. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to External links · 5

MTASC → Flashlets, GitHubThe MTASC Community Fork, Official, OrganicDesign Wiki, SourceForgeExtension

Developer · 1

MTASC → Tristan Schmelcher

Final release · 1

MTASC → 1.15 / October 7, 2009; 16 years ago (2009-10-07)

License · 1

MTASC → GPL 2

Original author · 1

MTASC → Nicolas Cannasse

Release · 1

MTASC → October 25, 2004; 21 years ago (2004-10-25)

Repository · 1

MTASC → github.com/ncannasse/mtasc

Successor · 1

MTASC → Haxe

Type · 1

MTASC → Compiler

Website · 1

MTASC → tech.motion-twin.com/mtasc.html

Important terminology

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

Important terminology

actionscript compiler ocaml haxe flash needed mmc also motion-twin written successor free software github website swfmill swf programming language company

MTASC relationships Subject–Predicate–Object triples

TTTA extracted 15 structured relationships around MTASC. Examples in this analysis include MTASC → Developer → Tristan Schmelcher and MTASC → Final release → 1.15 / October 7, 2009; 16 years ago (2009-10-07). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
MTASC	Developer	Tristan Schmelcher	1.00	infobox
MTASC	Final release	1.15 / October 7, 2009; 16 years ago (2009-10-07)	1.00	infobox
MTASC	License	GPL 2	1.00	infobox
MTASC	Original author	Nicolas Cannasse	1.00	infobox
MTASC	Release	October 25, 2004; 21 years ago (2004-10-25)	1.00	infobox
MTASC	Repository	github.com/ncannasse/mtasc	1.00	infobox
MTASC	Successor	Haxe	1.00	infobox
MTASC	Type	Compiler	1.00	infobox
MTASC	Website	tech.motion-twin.com/mtasc.html	1.00	infobox
MTASC	Written in	OCaml	1.00	infobox
MTASC	related to External links	Official	0.60	section
MTASC	related to External links	GitHubThe MTASC Community Fork	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around MTASC bring nearby vocabulary together. In this analysis, examples include Ocaml, Also and Haxe. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

free software
- Software
- Alone
- Contain
- Content
- Files
- Github
- Interactive
- Like
- Multimedia
- Playable
- Player
- Produce
adobe flash
- Built
- Citation
- Faster
- Much
- Adobe
- Also
- Flash
- Interactive
- Like
- Mmc
- Multimedia
- Needed
MTASC
- Ocaml
- Also
- Haxe
- Mmc
- Needed
- Successor
- Written
- Adobe
- Built
- Citation
- Company
- Faster
mtasc
- Ocaml
- Also
- Haxe
- Mmc
- Needed
- Successor
- Written
- Adobe
- Built
- Citation
- Company
- Faster
flash player
- Produce
- Swf
- Swfmill
- Tools
- Used
- Adobe
- Built
- Citation
- Faster
- Interactive
- Like
- Much
actionscript
- Mtasc
- Compiler
- Mmc
- Needed
- Ocaml
- Adobe
- Built
- Citation
- Company
- Faster
- Language
- Motion
ocaml
- Also
- Written
- Adobe
- Built
- Citation
- Faster
- Github
- Much
- Programming
- Twin
- Website
- Flash
haxe
- Successor
- Github
- Website
- Mtasc
- Motion-twin
- Software
- Written
- Ocaml

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the MTASC map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

MTASC

Nodes11

Edges10

Triples15

Avg. degree1.82

Density0.181818

Components1

Source & methodology

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

Source: Wikipedia — MTASC · EN edition · Analysis: TopicsToTalkAbout