Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In network theory, link prediction is the problem of predicting the existence of a link between two entities in a network. Examples of link prediction include predicting friendship links among users in a social network, predicting co-authorship links in a citation network, and predicting interactions between genes and proteins in a biological network.…
History, Applications & Products
Explore the main themes, entities and connections around Link prediction. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
link prediction links also displaystyle network similarity used based predict approaches set model methods graph nodes networks entities models matrix
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Link prediction | is a | problem of predicting the existence of a link between two entities in a network | 0.90 | text |
| stochastic block models propose an approach to generate links between nodes in a random graph | instance of | generative random graph models | 0.80 | text |
| similarity measures computed on the entity attributes | instance of | Approaches and methodsSeveral link predication approaches have been proposed including unsupervised approaches | 0.80 | text |
| random walk | instance of | Approaches and methodsSeveral link predication approaches have been proposed including unsupervised approaches | 0.80 | text |
| matrix factorization based approaches | instance of | Approaches and methodsSeveral link predication approaches have been proposed including unsupervised approaches | 0.80 | text |
| and supervised approaches based on graphical models | instance of | Approaches and methodsSeveral link predication approaches have been proposed including unsupervised approaches | 0.80 | text |
| deep learning | instance of | Approaches and methodsSeveral link predication approaches have been proposed including unsupervised approaches | 0.80 | text |
| Link prediction | has application | Link | 0.60 | section |
| Link prediction | has application | It | 0.60 | section |
| Link prediction | has application | In | 0.60 | section |
| Link prediction | has application | Another | 0.60 | section |
| Link prediction | has method | Several | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.