The dependency network approach provides a system level analysis of the activity and topology of directed networks. The approach extracts causal topological...

Relational dependency networks (RDNs) are graphical models which extend dependency networks to account for relational data. Relational data is data organized...

A benefit dependency network (BDN) is a diagram of cause and effect relationships. It is drawn according to a specific structure that visualizes multiple...

Dependency networks (DNs) are graphical models, similar to Markov networks, wherein each vertex (node) corresponds to a random variable and each edge captures...

interest on an outcome map (also called a results chain, benefits dependency network or benefit map) can be created. See next section. This technique supports...

The Crown Dependencies are three offshore island territories in the British Islands that are self-governing possessions of the British Crown: the Bailiwick...

A Markov network or MRF is similar to a Bayesian network in its representation of dependencies; the differences being that Bayesian networks are directed...

Dependency hell is a colloquial term for the frustration of some software users who have installed software packages which have dependencies on specific...

In a project network, a dependency is a link among a project's terminal elements.[citation needed] The A Guide to the Project Management Body of Knowledge...

Dependency grammar (DG) is a class of modern grammatical theories that are all based on the dependency relation (as opposed to the constituency relation...