About igraph releases and other things
C/igraph 0.10.15, the thirteenth bugfix release of the 0.10 series, has arrived, with several new additions, bug fixes and performance improvements. As usual, the source can be obtained from the GitHub releases page.
A summary of changes in 0.10.15 is below.
igraph_bitset_update() copies the contents of one bitset into another (experimental function).igraph_vector_sort_ind() (rename of igraph_vector_qsort_ind()).igraph_vector_contains_sorted() (rename of igraph_vector_binsearch2()).igraph_vector_reverse_section() reverses a contiguous section of a vector.igraph_vector_rotate_left() applies a cyclic permutation to a vector.igraph_strvector_swap_elements() swaps two strings in an igraph_strvector_t.igraph_find_cycle() finds a single cycle in a graph, if it exists (experimental function).igraph_feedback_vertex_set() finds a minimum feedback vertex set in a directed or undirected graph (experimental function).igraph_simple_cycles() and igraph_simple_cycles_callback() find all simple cycles in a graph, optionally with an upper bound on the cycle length (experimental functions). Many thanks to @GenieTim for contributing this functionality in #2181.igraph_feedback_arc_set() uses a much faster method for solving the exact minimum feedback arc set problem. The new method (IGRAPH_FAS_EXACT_IP_CG) is used by default (i.e. with IGRAPH_FAS_EXACT_IP), but the previous method is also kept available (IGRAPH_FAS_EXACT_IP_TI).igraph_motifs_randesu(), igraph_motifs_randesu_callback(), igraph_motifs_randesu_estimate() and igraph_motifs_randesu_no() now accept NULL for their cut_prob parameter, signifying that a complete search should be performed.igraph_centralization_eigenvector_centrality_tmax() and igraph_centralization_eigenvector_centrality() cannot produce meaningful results without normalizing vertex-level eigenvector centrality in a well-defined way. This was not the case when using scale=false. These functions now ignore the value of the scale parameter and always scale vertex-level centrality scores to have a maximum of 1. If you require a different type of normalization for the vertex-level eigenvector centrality scores, perform this normalization manually, and call igraph_centralization() to compute the centralization.igraph_eigenvector_centrality() receives a directed acyclic graph as input, it now produces an eigenvector which has 1s in sink vertices and 0s everywhere else. Previously, it would return an all-zero vector. Note that eigenvector centrality is not uniquely defined for graphs that are not (strongly) connected, and both of these results can be considered valid. This change is to ensure consistency with the definition of the theoretical maximum of eigenvector centralization, which assumes the in-star to be the most centralized directed network.igraph_layout_drl() and igraph_layout_drl_3d() would crash with an assertion failure when interrupted. This is now fixed.igraph_community_spinglass_single().igraph_community_multilevel() could enter an infinite loop. This is now corrected.igraph_community_voronoi() when requesting modularity but not membership.igraph_community_optimal_modularity() when requesting modularity but not membership and passing a null graph or singleton graph.igraph_layout_umap() and igraph_layout_umap_3d() would crash when passing distances=NULL and distances_are_weights=true. This is now fixed.igraph_layout_umap() and igraph_layout_umap_3d() would crash on interruption. This is now fixed.igraph_read_graph_pajek() now warns about duplicate vertex IDs in input files.igraph_strvector_resize_min() was missing from headers.igraph_feedback_arc_set() now validates the edge weights.igraph_layout_lgl() was not working correctly since igraph 0.10.0 due to a poor choice of initial coordinates. This is now fixed.igraph_centralization_degree_tmax(), igraph_centralization_betweenness_tmax(), igraph_centralization_closeness_tmax(), and igraph_centralization_eigenvector_centrality_tmax() now validate their nodes parameter.igraph_centralization_degree_tmax(), igraph_centralization_betweenness_tmax(), igraph_centralization_closeness_tmax(), and igraph_centralization_eigenvector_centrality_tmax() now return NaN for zero-vertex graphs. Previously they would return invalid values.igraph_centralization_eigenvector_centrality_tmax() now returns 0 for the undirected singleton graph. Previous it would return an invalid value.igraph_motifs_randesu_estimate() now validates the sample size.igraph_bipartite_projection_size() now validates the bipartite types vector.igraph_minimum_spanning_tree_prim() and igraph_minimum_spanning_tree_unweighted() are deprecated. Use igraph_minimum_spanning_tree() in conjunction with igraph_subgraph_from_edges() instead.igraph_array3_t and all associated functions are deprecated and scheduled for removal in igraph 1.0.igraph_vector_qsort_ind() is deprecated in favour of igraph_vector_sort_ind().igraph_vector_binsearch2() is deprecated in favour of igraph_vector_contains_sorted().