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Sylvania's MOBIDIC, short for "MOBIle DIgital Computer", was a transistorized computer intended to store, sort and route information as one part of the United States Army's Fieldata concept. Fieldata aimed to automate the distribution of battlefield data in any form, ensuring the delivery of reports to the proper recipients regardless of the physical…
The analysis highlights History, Measurement and Art as prominent areas in the source structure around MOBIDIC.
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.
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 MOBIDIC shows recurring relationship patterns in the source. For example, MOBIDIC → All, Flexowriter, For, It, Machines, MOBIDIC's, One, STOP, The, This Another extracted example is MOBIDIC → MOBIDIC. 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.
sylvania fieldata system army one computer data tape would machine could commercial two army's battlefield memory power output messages general
TTTA extracted 30 structured relationships around MOBIDIC. Examples in this analysis include MOBIDIC → Codename → MOBIDIC and MOBIDIC → Connectivity → Other MOBIDIC units. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MOBIDIC | Codename | MOBIDIC | 1.00 | infobox |
| MOBIDIC | Connectivity | Other MOBIDIC units | 1.00 | infobox |
| MOBIDIC | CPU | 36 & 40 bit, 52 instruction | 1.00 | infobox |
| MOBIDIC | Dimensions | Four vans | 1.00 | infobox |
| MOBIDIC | Discontinued | 1960s | 1.00 | infobox |
| MOBIDIC | Input | Flexowriter | 1.00 | infobox |
| MOBIDIC | Introductory price | $20-30 million USD | 1.00 | infobox |
| MOBIDIC | Language | COBOL | 1.00 | infobox |
| MOBIDIC | Manufacturer | Sylvania Electric Products | 1.00 | infobox |
| MOBIDIC | Marketing target | American Army, Government, Commercial (9400) | 1.00 | infobox |
| MOBIDIC | Media | Tape | 1.00 | infobox |
| MOBIDIC | Memory | 2-7 banks of 4098 word core memory | 1.00 | infobox |
| MOBIDIC | Platform | Fieldata | 1.00 | infobox |
| MOBIDIC | Power | 29.79kW, provided by generator van. | 1.00 | infobox |
| MOBIDIC | Product family | MOBIDIC | 1.00 | infobox |
| MOBIDIC | Released | December 1959 (1959-12) | 1.00 | infobox |
| MOBIDIC | Storage | Tape drives, punch tape | 1.00 | infobox |
| MOBIDIC | Successor | Sylvania 9400 | 1.00 | infobox |
| MOBIDIC | Type | Mobile trailer computer | 1.00 | infobox |
| MOBIDIC | Weight | ~7000lbs-12000lbs | 1.00 | infobox |
The concept neighborhoods around MOBIDIC bring nearby vocabulary together. In this analysis, examples include Short, System and Fort. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MOBIDIC, one of the stronger structural bridges in this analysis connects MOBIDIC with History. 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 MOBIDIC to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MOBIDIC · EN edition · Analysis: TopicsToTalkAbout