LinkModell
LinkModell is a generic term used in German-language literature to describe a framework for modeling relational structures by representing entities as nodes and their relationships as links. In this approach, a network is formalized as a graph G = (V, E) where V is the set of entities and E is the set of edges; edges may be directed or undirected and may carry weights and attributes. The model emphasizes the prediction and analysis of links, rather than only the properties of individual nodes, and often combines statistical, probabilistic, and machine learning methods to estimate the presence or strength of links.
Key concepts include link prediction, link attributes, temporal dynamics, and multi-relational or heterogeneous networks. Variants may
Common methods used within LinkModell include feature-based models such as logistic regression or gradient boosting on
Applications span social networks, bibliometric analyses, biology, supply chain risk, and information retrieval. The approach is
In literature, LinkModell is used as a broad label for several relational modeling approaches; precise definitions