Changes in netdiffuseR version 1.19.0 (2017-10-16) New functions and features rdiffnet now allows passing scalars for threshold.dist, more over, the user can also ask the function to just warn when there is no diffusion instead of returning with error. plot.diffnet, plot_diffnet, plot.diffnet_mentor, and plot_diffnet2 use igraph for plotting. Also, users can now pass "degree" for -vertex.size- (vertex.cex not used anymore), allowing to "automatically" scale vertices by (in/out/.)degree. Also, plotting arguments like vertex. or edge. are standarized so these match igraph. plot_diffnet has a new parameter: background. rdiffnet_multiple, a wrapper of rdiffnet, allows performing simulations studies by running simulating multiple diffusion networks using rdiffnet. exposure has a new parameter: lags. By default lags = 0, returns a lagged exposure matrix. Bug fixes igraph_to_diffnet was failing with the graph had no weights. drop_isolated was not behaving well for diffnet objects. vertex_covariate_dist was incorrectly specified. Only the default p=2 were OK. Now fixed and the tests/ folder includes a tests on this. plot_diffnet2 was not passing color.ramp to drawColorKey. Now fixed. plot.diffnet_mentor had a bug. Uncesary permutation of vertices was done, but it actually had no visible effect. Similar problem was corrected in diffnet_to_igraph, and other plot methods using igraph for plotting. Other changes Replacing some C++ functions by R functions in cases in which there was no decrease in performance. plot_diffnet function now has smaller margins, so looks more appealing. New examples in vignettes "netdiffuseR showcase: Medical Innovations", and "Simulating diffusion networks: Using the rdiffnet function".