Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/RWRandMatrices.R

`compute.adjacency.matrix`

is a function to compute the adjacency
matrix of a multiplex network provided as a `Multiplex`

object.

1 | ```
compute.adjacency.matrix(x,delta = 0.5)
``` |

`x` |
A |

`delta` |
A numeric value between 0 and 1. It sets the probability of performing inter-layer versus intra-layer transitions. It is set by default to 0.5. See more details below. |

The parameter `delta`

sets the probability to change between
layers at the next step. If delta = 0, the particle will always remain
in the same layer after a non-restart iteration. On the other hand, if
delta = 1, the particle will always change between layers, therefore
not following the specific edges of each layer.

A square sparse adjacency matrix created with the `Matrix`

package.

Alberto Valdeolivas Urbelz alvaldeolivas@gmail.com

```
create.multiplex,normalize.multiplex.adjacency,
compute.transition.matrix
```

1 2 3 4 | ```
m1 <- igraph::graph(c(1,2,1,3,2,3), directed = FALSE)
m2 <- igraph::graph(c(1,3,2,3,3,4,1,4), directed = FALSE)
multiObject <- create.multiplex(list(m1=m1,m2=m2))
compute.adjacency.matrix(multiObject)
``` |

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