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In computing, the network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that the schema, viewed as a graph in which object types are nodes and relationship types are arcs, is not restricted to being a hierarchy or lattice.
The analysis highlights History and Products as prominent areas in the source structure around Network model.
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 Network model shows recurring relationship patterns in the source. For example, Network model → Although, Client Server, CODASYL, Cycles, DL/I, Firstly, IBM, IMS, Network Models, Peer-to-Peer, Secondly, The, This, Until, While Another extracted example is Network model → Bachman, Bachman's, Charles Bachman, CODASYL, Conference, Consortium, Data Systems Languages, In, ISO, Subsequent, The, This. 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.
model network codasyl database data systems graph schema hierarchical bachman relationships types relationship became relational 1980s record base 1969 1971
TTTA extracted 41 structured relationships around Network model. Examples in this analysis include Network model → is a → database model conceived as a flexible way of representing objects and their relationships and IMS → instance of → IBM chose to stick to the hierarchical model with semi-network extensions in their established products. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Network model | is a | database model conceived as a flexible way of representing objects and their relationships | 0.90 | text |
| IMS | instance of | IBM chose to stick to the hierarchical model with semi-network extensions in their established products | 0.80 | text |
| DL/I | instance of | IBM chose to stick to the hierarchical model with semi-network extensions in their established products | 0.80 | text |
| Network model | related to Database systems | Some | 0.60 | section |
| Network model | related to Database systems | IMAGE | 0.60 | section |
| Network model | related to Database systems | HP | 0.60 | section |
| Network model | related to Database systems | Data Store | 0.60 | section |
| Network model | related to Database systems | IDS | 0.60 | section |
| Network model | related to Database systems | IDMS | 0.60 | section |
| Network model | related to Database systems | Integrated Database Management System | 0.60 | section |
| Network model | related to Database systems | Univac DMS-1100Norsk Data SIBASOracle | 0.60 | section |
| Network model | related to Database systems | CODASYL DBMS | 0.60 | section |
The concept neighborhoods around Network model bring nearby vocabulary together. In this analysis, examples include Network, Data and Database. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Network model, one of the stronger structural bridges in this analysis connects Network model with Overview. 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 Network model to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Network model · EN edition · Analysis: TopicsToTalkAbout