USCCANA/netdiffuseR: CRAN release version 1.17.0

The title of the package is now Analysis of Diffusion and Contagion Processes on Networks.

The function struct_test now allows other types of graphs. Before it only supported diffnet objects.

The function rewire_graph gains a new argument for the algorithm "swap". Now to ensure aperiodicity in MCMC a chance of skiping a rewire has been included.

The function n_rewires now has a default of 20 (before it was 100). This is based on Ray et al (2012) (more details in the manual).

The function rgraph_ba gains a new argument, self=TRUE. By default behaves as before following Bollabas, but now can deviate to generate graphs with no autolinks.

In rgraph_ba, the argument eta allows implementing De Almeida et al. (2013) Scale-free homophilic networks.

The functions exposure and dgr are now pure R code (C++ functions were replace since there were no significant speed gains).

diffnet class objects now have two new meta-values: name and behavior.

Elements -graph-, -toa-, -adopt- and -cumadopt- in diffnet class objects have lost their dimnames (more efficient storage).

classify_adopters now always includes Non-Adopters.

vertex_covariate_dist computes distances between vertices using both the graph and a matrix of length nxK.

vertex_mahalanobis_dist computes mahalanobis distance between vertices (as above).

struct_test_asymp an asymptotic approximation of struct_test (not recomended).

ego_variance computes a pseudo variance at the ego level (aux function for struct_test).

transformGraphBy applies a function that transforms a graph considering structural zeros given by groups. Similar to the idea of the -by- option in struct_equiv.

read_ucinet read UCINET binary files (both header and graph file). Still work in progress.

plot.diffnet_degSeq method allows visualizing degree sequence as log-log plots (default).

diag_expand creates a single adjacency matrix from a dynamic graph.

summary.diffnet_adoptChange method generates a summary table of the df generated by select_egoalter.

permute_graph permutes the values of an adjacency matrix (Conditional Uniform Graph).

rewire_qap generates isomorphic graphs by "changing the labels".

^.diffnet method was rasing to +1 power, e.g. diffnet^2 was actually diffnet^3.

/.diffnet was not working.

plot_diffnet was computing the coordinates of the cells wrongly. Most of the time causing adding figures outside of the plotting area.

The c.diffnet_struct_test method was not updating the p.value.

The function edgelist_to_adjmat was not processing correctly undirected graphs when the edgelist represented a lower triangular matrix.

The function survey_to_diffnet had an issue processin dyn graph attrs returning errors. Now fixed.

The function select_egoalter returned error when graph was an array.

The method [[<-.diffnet failed when replacing a dynamic attribute with a NULL value (e.g. dn[["my_dyn_att"]] <- NULL).