netify

• netify(..., output_format = "longit_array") respects actor_pds and actor_time_uniform = FALSE. Actors outside their active periods are NA in those periods.
• Supplying actor_pds with gapped numeric time no longer creates empty periods for every integer in the range.
• The stored actor_pds (and get_actor_time_info(net)) uses time labels in the class of the time variable rather than integer positions.
• mixing_matrix() counts each undirected tie once, so total_ties is halved for symmetric networks and raw between-group cells hold half a tie in each mirrored cell. Proportions, assortativity, and modularity are unchanged.
• compare_networks() counts each undirected edge once in edge_changes. For networks with different actors, correlation, Jaccard, Hamming, QAP, and spectral distance are computed on the shared actors, with a message saying how many actors were left out.
• bootstrap_netlet() resamples longitudinal netlets by actor name, so the same actors are drawn in every period. Pairs formed by two copies of the same actor are NA rather than 0, removing a downward bias in density.
• subset(from =, to =) on unipartite networks returns a square matrix over the union of the selected actors, with ties outside the from x to block set to NA.

New warnings and messages

• netify() warns when symmetric = TRUE and a dyad appears in both directions within a period with different weights. The value from the last row is still used; use sum_dyads = TRUE, aggregate_dyad(..., symmetric = TRUE), or symmetric = FALSE to resolve it.
• nodal_vars is documented as describing actor1, and netify() reports actors that only appear as actor2, since they receive NA.

Bug fixes

Subsetting and transformations

• subset() / subset_netify() on longitudinal networks clips actor period bounds to the retained periods. Subsetting to several periods without both endpoints previously made plot(x, time_filter = ...), decompose_netify(), and add_node_vars() fail with "Actor period bounds are not in the netlet time labels."
• subset() returns requested periods in netlet order without duplicates.
• subset() down to a single period keys dyadic data as cross-sectional, so dyad_correlation(), attribute_report(), add_dyad_vars(), mutate_weights(), and pivot_dyad_to_network() find existing dyadic variables.
• subset() of a multilayer longitudinal array to one period returns a cross-sectional [actor, actor, layer] array.
• subset() on a bipartite network gives a clear error when the selected actors come from only one mode.
• ego_netify() subsets actor_pds, nodal, and dyadic attributes to the ego network's actors and periods, and keeps the period name when only one period remains.
• mutate_weights() with only add_constant changes longitudinal arrays, updates weight attributes on every period of a longitudinal list, renames the layer of single-layer networks with new_name, and works on multilayer networks. binarize() also works on multilayer networks.

Construction and attributes

• nodal_vars, dyad_vars, add_node_vars(), and add_dyad_vars() work with POSIXct time.

Plotting

• plot() draws each tie once in undirected networks.
• plot() works for bipartite networks where an actor appears in both modes (for example mexico). summary_actor() returns plain actor names for these networks with an actor_mode column.
• plot(..., static_actor_positions = TRUE) works for longitudinal bipartite networks.
• layout = "sugiyama" works in plot() and get_node_layout().
• point_layout accepts a single data.frame reused across periods.
• plot_homophily(type = "distribution") works for longitudinal networks.
• label_size_by, label_color_by, label_fill_by, and label_alpha_by no longer trigger an "Unknown parameter" warning.
• node_filter in longitudinal plots removes edges only in the periods where an endpoint is filtered out.
• time_filter accepts numeric time labels such as time_filter = 2012 when they are not valid indices, and lists the available periods when nothing matches.

Analysis

• homophily(), mixing_matrix(), attribute_report(), and dyad_correlation() work on multilayer longitudinal netlets stored as lists.
• homophily(method = "hamming") and method = "jaccard" accept character, factor, and logical attributes.
• dyad_correlation() aligns dyadic covariates to network actors by name.
• compare_networks(by = ...) works for what = "structure", "nodes", and "attributes", and gives a clear error for edge comparisons.

Converters

• netify_to_statnet() accepts factor and Date nodal attributes.
• netify_to_amen(lame = TRUE) and to_lame(lame = TRUE) order Xrow and Xcol rows to match each period's actors.
• The to_lame()$ame_call snippet runs with current lame, and from_lame_fit() returns a longitudinal netify for longitudinal lame::lame() fits.

Documentation

• The animate_netify() example runs only when gganimate is installed.
• The peek() example uses actor names that exist in icews.