Directed Acyclic Graph Functional forms Single- scale Degree Vertices Cricket Stochastic Dense Directed Diameter Edges Sparse Leonhard Euler network reconstruction Dynamic Complex Preferential Acyclic Systems Biology Markup Language Essential Three Parameter estimation Causation Numerical values on edges Topology Parameters Discrete- time Wiring/Interactions Tree Undirected In silico models Evolve Path length Over- fitting Poisson Reality Scale and Complexity Variables Power- law Random shortcuts reduce path lengths Predicts outcome of real-life experiments A Model Non- homogeneous Empirical Eulerian circuit Directed Acyclic Graph Functional forms Single- scale Degree Vertices Cricket Stochastic Dense Directed Diameter Edges Sparse Leonhard Euler network reconstruction Dynamic Complex Preferential Acyclic Systems Biology Markup Language Essential Three Parameter estimation Causation Numerical values on edges Topology Parameters Discrete- time Wiring/Interactions Tree Undirected In silico models Evolve Path length Over- fitting Poisson Reality Scale and Complexity Variables Power- law Random shortcuts reduce path lengths Predicts outcome of real-life experiments A Model Non- homogeneous Empirical Eulerian circuit
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Directed Acyclic Graph
Functional forms
Single-scale
Degree
Vertices
Cricket
Stochastic
Dense
Directed
Diameter
Edges
Sparse
Leonhard Euler
network reconstruction
Dynamic
Complex
Preferential
Acyclic
Systems Biology Markup Language
Essential
Three
Parameter estimation
Causation
Numerical values on edges
Topology
Parameters
Discrete-time
Wiring/Interactions
Tree
Undirected
In silico models
Evolve
Path length
Over-fitting
Poisson
Reality
Scale and Complexity
Variables
Power-law
Random shortcuts reduce path lengths
Predicts outcome of real-life experiments
A Model
Non-homogeneous
Empirical
Eulerian circuit