Attractiveness = corresponds to the predisposition of two nodes to connect in the future
Preferential Attatchment = probability of connecting in the future (the more neighbors in common, the more likely they are to connect in the future)
Common Neighbors = number of common neighbors on the network
Influence = corresponds to the importance level of an edge in relation to access to different regions in the graph
Neighborhood Overlap = fraction of the number of common neighbors (edges with low Neighborhood Overlap consist of nodes traveling in “social circles”, having almost nobody in common = local bridges)
Edge Betweenness = number of the shortest paths that go through an edge in a graph or network (edges with a high edge betweenness centrality score represent a bridge-like connector between two parts of a network and the removal of which may affect the communication between many pairs of nodes through the shortest paths between them)
Affinity = corresponds to the frequency of collaboration between two nodes
Resource Allocation = fraction of a resource (for example, information or something else) that a node can send to another node through its common neighbors
Weight = number of collaborations between two music genres (which is statistically correlated with the possibility that these two genres will collaborate in the future)