Network hypertext is a type of hypertext that connects information using a wide range of criteria for links, such as cause-effect, category-example, item-definition, linear, and hierarchical connections. Unlike strictly hierarchical hypertext, network hypertext offers a more flexible and multidimensional way of navigating through information, allowing users to explore connections and relationships in a more nuanced way. As a result, network hypertext typically has more links in total and a greater variety of link types, providing a more comprehensive and interconnected presentation of information.

Network Hypertext Knowledge Structure

Hierarchical hypertext is a type of hypertext that connects information through subordinate-superordinate relationships between concepts. Unlike network hypertext, which can have numerous types of links, hierarchical hypertext typically contains fewer links, limited only to hierarchical connections. This results in a more streamlined and structured navigation experience, allowing users to quickly access and understand the relationships between concepts within the hierarchy.

Hierarchical Hypertext Knowledge Structure

Linear hypertext is a type of hypertext that presents information in a single linear path, similar to the structure of a physical book. This type of hypertext typically allows users to navigate forward and backward along the path, providing a familiar and intuitive navigation experience.

Linear Hypertext Knowledge Structure

- Linear knowledge structure
- Hierarchical knowledge structure
- Network knowledge structure

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Making words or phrases as anchors, prominent in a knowledge entity to link to another knowledge entity.

Emphasizing Links Between Knowledge Entities

- Visual links from sources to destinations
- Hyperlinks between knowledge entities

Types of representation of Links between knowledge entities

Types of structure of links between knowledge entities

Refereces for Emphasizing Links Between Knowledge Entities

In online communities where the objective is to create and share step-guided learning content, there is a need to emphasize the links between knowledge entities. This is due to the fact that they intend to provide their users with learning pathways to follow from one section/chapter/module/page to the next one to achieve a specific learning objective.

Even before starting the learning journey, they also often emphasize the prerequisites that one should have covered before starting to study the learning content that they offer. Sometimes, they also suggest follow-up courses that the learners can go through after completing the learning material.

Step-guided Learning Content Generating Online Communities Emphasize Links Between Knowledge Entities

Criteria for linking knowledge entities can be classified into several types:
- Causality
- Prerequisite
- Verbal
- Argumentative
- Authoritative
- Similarity
- Proximity (location)
- Co-occurrence
- Temporal
- Mentions
- Contacts

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