adding generate_simulated_data_from_estimated_model for generating simulated networks from a fitted joint estimation model and plot_contribution for plotting contributions calculated from simulated and observed data.
adding a quantification of the contributions of preferential attachment and fitness mechanisms in the growth process of a temporal network. See the help page of joint_estimate for more information.
Updating bibliography information for the PAFit-oneshot method.
PAFit_oneshot function for estimating the preferential attachment function from one snapshot.
some changes in various functions.
some bugs in the generate_net function.
a bug in the plot function.
a bug in the CV step.
a bug when the number of non-zero positions in A_k is three.
updated the tutorial
updated the help manual
new function test_linear_PA to chech whether the linear PA-only case is consistent with the observed degree distribution.
updated the tutorial
updated the help manual
added some error messages to handle edge cases
updated the tutorial
funtion to plot generated networks of PAFit.
functions to convert networks generated by PAFit to objects in packages igraph or networkDynamic.
functions to read a graph from an edgelist matrix file or a gml file.
functions to write a graph to an edgelist file or a gml file.
now one can register an isolated node i at time t by adding one row: (i -1 t).
a bug in the joint_estimate when the cv data contains only one node.
a new interface for almost every main functionality of the package
a completely re-written tutorial
a bug in plotting the PA function when the degree threshold is set too high
improved the exposition in the documentation
improved code readability
wrapper functions to generate networks from well-known models
complete overhaul of the main functions.
minor bugs in edge cases
improved the exposition in the documentation
improved code readability
adding confidence interval for the estimated attachment exponenent in all methods
some minor bugs
improved the exposition in the documentation
improved code readability
starting to use GitHub for bugs reporting: https://github.com/thongphamthe/PAFit/issues
starting to use a parallel GitHub homepage: https://github.com/thongphamthe/PAFit
the corrected Newman's method and Jeong's method are implemented
functions to evaluate error between estimation and true values
a bug in reading data in which time-stamps are factors
functions for performing cross validation when assuming A_k = k^\alpha. This will reduce the cross validation to one-dimensional search, since in this case we only have to find the optimum parameter s for fitness
starting use this NEWS