Generative Mechanism Estimation in Temporal Complex Networks

---

Documentation for package ‘PAFit’ version 1.2.10

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

PAFit-package	Generative Mechanism Estimation in Temporal Complex Networks
as.PAFit_net	Converting an edgelist matrix to a PAFit_net object
coauthor.author_id	A collaboration network between authors of papers in the field of complex networks with article time-stamps
coauthor.net	A collaboration network between authors of papers in the field of complex networks with article time-stamps
coauthor.truetime	A collaboration network between authors of papers in the field of complex networks with article time-stamps
ComplexNetCoauthor	A collaboration network between authors of papers in the field of complex networks with article time-stamps
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 model
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 mechanisms
generate_simulated_data_from_estimated_model	Generating simulated data from a fitted model
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 function
joint_estimate	Joint inference of attachment function and node fitnesses
Newman	Corrected Newman's method for estimating the preferential attachment function
only_A_estimate	Estimating the attachment function in isolation by PAFit method
only_F_estimate	Estimating node fitnesses in isolation
PAFit	Generative Mechanism Estimation in Temporal Complex Networks
PAFit_data	Getting summarized statistics from input data
PAFit_oneshot	Estimating the nonparametric preferential attachment function from one single snapshot.
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 of a 'PAFit_result' object
plot.PA_result	Plotting the estimated attachment function
plot_contribution	Plotting contributions calculated from the observed data and contributions calculated from simulated data
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 stored in a 'PAFit_data' object
print.PAFit_net	Printing simple information of a 'PAFit_net' object
print.PAFit_result	printing information on the estimation result stored in a 'PAFit_result' object
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 stored in a 'PAFit_data' object
summary.PAFit_net	Summary information of a 'PAFit_net' object
summary.PAFit_result	Output summary information on the estimation result stored in a 'PAFit_result' object
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