- What is the difference between a weighted and unweighted network?
- What are weights in network analysis?
- What is the weight of a network?
What is the difference between a weighted and unweighted network?
In unweighted networks, the length of a path is the number of edges which are traversed. In weighted networks, the length of a path is the sum of the weights of the edges which are traversed.
What are weights in network analysis?
For neural networks, the weight is the number of junctions between neurons and for transportation networks it is the Euclidean distance between two destinations. The diversification of the links is described in terms of weights on the links.
What is the weight of a network?
Weight is the parameter within a neural network that transforms input data within the network's hidden layers. A neural network is a series of nodes, or neurons. Within each node is a set of inputs, weight, and a bias value.