About igraph releases and other things
C/igraph 0.10.12, the eleventh bugfix release of the 0.10 series, has arrived. As usual, the source can be obtained from the GitHub releases page.
This release brings a large number of quality enhancements, including many bug fixes and performance improvements. Upgrading is highly recommended for all igraph users.
This will be one of the last—if not the last—releases of the 0.10 series, with igraph 1.0 planned for release early summer this year. Pre-releases will be made available for feedback from the community.
A summary of changes in 0.10.12 is below.
igraph_transitive_closure() computes the transitive closure of a graph (experimental function).igraph_reachability() determines which vertices are reachable from each other in a graph (experimental function).igraph_count_reachable() counts how many vertices are reachable from each vertex (experimental function).igraph_bitset_t, and a set of corresponding functions (experimental functionality).igraph_community_label_propagation() is now interruptible.igraph_is_bipartite() would on rare occasions return invalid results when the cache was employed.igraph_weighted_adjacency() correctly passes through NaN values with IGRAPH_ADJ_MAX, and correctly recognizes symmetric adjacency matrices containing NaN values with IGRAPH_ADJ_UNDIRECTED.igraph_read_graph_gml() can now read GML files that use ids larger than what is representable on 32 bits, provided that igraph was configured with a 64-bit igraph_integer_t size.igraph_read_graph_graphml() with files containing a very large number of entities, such as >.igraph_read_graph_pajek() has improved vertex ID validation that better matches that of Pajek’s own behavior.igraph_eigenvector_centrality() no longer issues a warning when the input is directed and weighted. When using this function, keep in mind that eigenvector centrality is well-defined only for (strongly) connected graphs, and edges with a zero weights are effectively treated as absent.igraph_transitive_closure_dag() is deprecated in favour of igraph_transitive_closure()igraph_strength() and igraph_degree(loops=false) are now faster when calculating values for all vertices (contributed by @gendelpiekel in #2602)