400-007 · Question #336
Feature-rich networks are complex network models that provide one or more features in addition to the network topology. In attributed networks, attributes are assigned to the nodes to describe the…
The correct answer is C. temporal network E. multilayer network. Temporal networks model interactions that change over time, while multilayer networks represent each type of relationship or attribute as a separate layer.
Question
Feature-rich networks are complex network models that provide one or more features in addition to the network topology. In attributed networks, attributes are assigned to the nodes to describe the corresponding entities. For example, in a friendship network, the actors can be described by their genre and their age. Which two alternative network models can be used to model interaction over time or to model each attribute by a specific relationship? (Choose two.)
Options
- Ainformation network
- Bheterogeneous network
- Ctemporal network
- Dprobabilistic network
- Emultilayer network
- Flocation-aware network
How the community answered
(41 responses)- B2% (1)
- C80% (33)
- D10% (4)
- F7% (3)
Why each option
Temporal networks model interactions that change over time, while multilayer networks represent each type of relationship or attribute as a separate layer.
Information networks focus on the flow or propagation of information between nodes, not on modeling temporal dynamics or attribute-specific layered relationships.
Heterogeneous networks contain multiple node and edge types but do not organize each attribute into a dedicated layer or explicitly represent temporal change.
Temporal networks explicitly model how connections and interactions evolve over time, making them suitable for representing dynamic relationships such as time-stamped communication or friendship events.
Probabilistic networks model uncertainty in edges or node states using probability distributions, not temporal evolution or attribute-layered structures.
Multilayer networks assign each type of attribute or relationship to a distinct layer, allowing different kinds of edges to coexist and be analyzed independently or jointly, which matches the requirement of modeling each attribute by a specific relationship.
Location-aware networks incorporate geographic coordinates into the model, addressing spatial context rather than time or multi-attribute layering.
Concept tested: Temporal and multilayer network model types
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