Tag: network model
Growth and Preferential attachment in scale-free networks.
A real network is usually governed by the laws of growth and preferential attachment. The assumption of a network from Erdo and Renyi does not perfectly describe how real networks work. Their assumption describe a fixed number of nodes and all the nodes are equivalent so they are linked randomly to each other. If we only have a fixed number of nodes we’ll end up wit a static network. In real network, it is dynamic because there is always growth. New nodes are added into the network from time to time. This step underscores the fact that networks are assembled one node at a time. When new nodes are added in, they do not just link to any other random nodes. The nodes will more likely connect to the one that has more connected node. It also brings up the …
