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Releases: thomasp85/tidygraph

tidygraph 1.3.1

30 Jan 13:34
@thomasp85 thomasp85
v1.3.1
f3cce2e
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thomasp85 Thomas Lin Pedersen
GPG key ID: E85D3C27C0D92AD3
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tidygraph 1.3.1 Latest
Latest
  • Fix a bug in tbl_graph() when edge to and from where encoded as factors
  • Secure compitability with igraph 2.0.0
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tidygraph 1.3.0

19 Dec 07:40
@thomasp85 thomasp85
v1.3.0
1dd4448
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tidygraph 1.3.0
  • Add resolution argument to group_louvrain() to mirror the igraph function
  • as_tbl_graph() on an edge dataframe now only adds a name node attribute if
    the edges are encoded as a character (#147)
  • Added node_is_connected() to test whether a node is connected to a set of
    nodes (#165)
  • Deprecated play_erdos_renyi() in favour of play_gnm() and play_gnp()
    (#152)
  • Added the whole family of slice_*() functions from dplyr (#128)
  • Added methods for tidyr::replace_na() and tidyr::drop_na() (#114)
  • Added edge_is_bridge() for querying whether an edge is a bridge edge (#113)
  • Added a glimpse() method for tbl_graph and morphed_tbl_graph objects
    (#30)
  • Add iterate_n() and iterate_while() to perform repeated modifications of
    a graph for a specific number of times or until a condition no longer is met
    (#43)
  • Add focus()/unfocus() verbs to limit node and edge algorithms to a subset
    while still keeping the full graph context (#18)
  • Data frame subclasses with sticky columns (such as those from sf and tsibble)
    now works with the tbl_graph constructors (#184)
  • graph_automorphisms() gains a color argument in line with capabilities in
    igraph
  • graph_mean_dist() now supports edge weights through a new weights argument
  • Added to_largest_component() morpher
  • Added graph_is_eulerian() and edge_rank_eulerian() for eulerian path
    calculations
  • Added to_random_spanning_tree() morpher
  • Added min_order argument to to_components() morpher
  • Added random_walk_rank() to perform random walks on the graph
  • Added centrality_harmonic() + deprecated centrality_closeness_harmonic().
    The latter is an interface to netrankr while the former is a more efficient
    and flexible igraph implementation.
  • Added group_color() as an interface to greedy_vertex_coloring() in igraph
  • Added group_leiden() to interface with cluster_leiden() in igraph
  • Added group_fluid() to interface with cluster_fluid_communities() in igraph
  • Added edge_is_feedback_arc() to interface with feedback_arc_set() in igraph
  • Added graph_efficiency() and node_effeciency() interfacing with
    global_efficiency() and local_efficiency() in igraph
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tidygraph 1.2.3

02 Feb 16:55
@thomasp85 thomasp85
v1.2.3
d881a33
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tidygraph 1.2.3
  • Small updates to work with new versions of igraph and dplyr
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tidygraph 1.2.2

22 Aug 07:22
@thomasp85 thomasp85
v1.2.2
98acc60
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tidygraph 1.2.2
  • Activating a grouped tbl_graph with what is already active will no longer
    cause grouping to be dropped (#121)
  • General upkeep
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tidygraph 1.2.1

06 Apr 06:22
@thomasp85 thomasp85
v1.2.1
04cb052
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tidygraph 1.2.1
  • Move compiled code to cpp11
  • Improve messaging with rlang and cli
  • New feature: the following hierarchical clustering functions
    group_edge_betweenness, group_fast_greedy, group_leading_eigen and
    group_walktrap have a new argument n_groups that controls the numbers of
    groups computed. The argument expects an integer value and it is NULL by
    default.
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tidygraph 1.2.0

12 May 17:32
@thomasp85 thomasp85
v1.2.0
0539873
This commit was signed with the committer’s verified signature.
thomasp85 Thomas Lin Pedersen
GPG key ID: E85D3C27C0D92AD3
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tidygraph 1.2.0
  • graph description now recognise undirected trees
  • Added pkgdown site at https://tidygraph.data-imaginist.com
  • Prepare tidygraph for dplyr 1.0.0 (#118 and #119)
  • Add possibility of controlling which column in nodes are used for matching
    if the to and from columns in edges are character vectors during
    construction (#89)
  • bind_graph() now accepts a list of graphs as its first argument (#88)
  • Add graph_modularity() for calculating modularity contingent on a node
    grouping (#97)
  • Edge weights are now handled more consistently to avoid igraph using a
    possible weight edge attribute. weights = NULL will always mean that no
    edge weight is used (#106).
  • Neighborhood graph in map_local() and siblings will now contain a
    .central_node node attribute that will identify the node from which the
    local graph has been calculated (#107)
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