Returns Multi Random Walk Centrality

GetMultiRWCentrality(
  SupraAdjacencyMatrix,
  Layers,
  Nodes,
  Type = "classical",
  Method = "multilayer"
)

Arguments

SupraAdjacencyMatrix

the supra-adajcency matrix

Layers

scalar, number of layers, number of layers

Nodes

scalar, number of nodes

Type

string, "classical", "pagerank", or "diffusive"

Method

string, "multilayer", or "perlayer"

Value

Vector of Multi-RandomWalk centralities

References

De Domenico, M., Solé-Ribalta, A., Omodei, E. et al. Ranking in interconnected multilayer networks reveals versatile nodes. Nat Commun 6, 6868 (2015). doi 10.1038/ncomms7868