Generative Mechanism Estimation in Temporal Complex Networks

as.PAFit_net | Converting an edgelist matrix to a PAFit_net object |

ComplexNetCoauthor | A collaboration network between authors of papers in the... |

from_igraph | Convert an igraph object to a PAFit_net object |

from_networkDynamic | Convert a networkDynamic object to a PAFit_net object |

generate_BA | Simulating networks from the generalized Barabasi-Albert... |

generate_BB | Simulating networks from the Bianconi-Barabasi model |

generate_ER | Simulating networks from the Erdos-Renyi model |

generate_fit_only | Simulating networks from the Caldarelli model |

generate_net | Simulating networks from preferential attachment and fitness... |

get_statistics | Getting summarized statistics from input data |

graph_from_file | Read file to a PAFit_net object |

graph_to_file | Write the graph in a PAFit_net object to file |

Jeong | Jeong's method for estimating the preferential attachment... |

joint_estimate | Joint inference of attachment function and node fitnesses |

Newman | Corrected Newman's method for estimating the preferential... |

only_A_estimate | Estimating the attachment function in isolation by PAFit... |

only_F_estimate | Estimating node fitnesses in isolation |

PAFit-package | Generative Mechanism Estimation in Temporal Complex Networks |

plot.Full_PAFit_result | Plotting the estimated attachment function and node fitness |

plot.PAFit_net | Plot a 'PAFit_net' object |

plot.PAFit_result | Plotting the estimated attachment function and node fitness... |

plot.PA_result | Plotting the estimated attachment function |

print.CV_data | Printing simple information of the cross-validation data |

print.CV_Result | Printing simple information of the cross-validation result |

print.Full_PAFit_result | printing information on the estimation result |

print.PAFit_data | Printing simple information on the statistics of the network... |

print.PAFit_net | Printing simple information of a 'PAFit_net' object |

print.PAFit_result | printing information on the estimation result stored in a... |

print.PA_result | Printing information of the estimated attachment function |

summary.CV_Data | Printing summary information of the cross-validation data |

summary.CV_Result | Output summary information of the cross-validation result |

summary.Full_PAFit_result | Summary information on the estimation result |

summary.PAFit_data | Output summary information on the statistics of the network... |

summary.PAFit_net | Summary information of a 'PAFit_net' object |

summary.PAFit_result | Output summary information on the estimation result stored in... |

summary.PA_result | Summary of the estimated attachment function |

test_linear_PA | Fitting various distributions to a degree vector |

to_igraph | Convert a PAFit_net object to an igraph object |

to_networkDynamic | Convert a PAFit_net object to a networkDynamic object |

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.