Description Usage Arguments Examples

View source: R/SocialInductionModels.R

This function runs the social induction model of network formation (see Ilany et al. 2016), with the addition of weighted edges.

1 2 | ```
socialInductionWeighted(obsNet = startingNet, Pn, Pr, Pb, En1, En2, Er1, Er2,
maxE, iter)
``` |

`obsNet` |
Starting network. This must be a weighted and non-directed igraph network. |

`Pn` |
Probability of forming ties with a mother's partner. |

`Pr` |
Probability of forming ties with a non mother's partner. |

`Pb` |
Probability of forming ties with mother. |

`En1` |
Alpha parameter for effort into a mother's partner. Where effort is defined by a beta distribution (0,1) using alpah and beta. |

`En2` |
Beta parameter for effort into a mother's partner. Where effort is defined by a beta distribution (0,1) using alpah and beta. |

`Er1` |
Alpha parameter for effort into a non mother's partner. Where effort is defined by a beta distribution (0,1) using alpah and beta. |

`Er2` |
Beta parameter for effort into a non mother's partner. Where effort is defined by a beta distribution (0,1) using alpah and beta. |

`maxE` |
Maximum grooming effort used to scale the beta distribution. This choice should represent an upper limit of effort. |

`iter` |
Number of iteration, where each iteration removes one node and introduces a new one. |

1 2 3 4 5 | ```
startingNet = erdos.renyi.game(n=10, type = c("gnm"), p.or.m = 15)
E(startingNet)$weight<-c(2,25,1,1,1,1,4,5,6,9,2,1,2,1,2)
predWeightedNet<-socialInductionWeighted(startingNet, Pn=0.4,Pr=0.1,Pb=1,En1=0.1,En2=4,Er1=0.1,Er2=4,maxE=100,iter=100)
plot(startingNet, edge.width=E(startingNet)$weight)
plot(predWeightedNet, edge.width=E(predWeightedNet)$weight)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.