- Added alttext to images in the README, tutorials, and website
- Added CRAN link to homepage
- Updated favicons
- Added more structure to the function overview

- Updated intro tutorial with images, exercises, questions, and more explanation and structure
- Updated data tutorial with images, new function names, questions, and more explanation and structure
- Updated data tutorial with more details on adding and deleting nodes, ties, and attributes
- Updated topology tutorial with new function names and more structure

- Updated viz tutorial with examples of
`graphs()`

and`grapht()`

- Updated viz tutorial with more details and examples on colors and theming
- Updated viz tutorial with overview, examples, and details on layouts, including force-directed, layered, circular, spectral, and grid layouts

- Updated centrality tutorial with images, new function names, and more structure
- Updated centrality tutorial with more interpretation of centrality measures
- Updated position tutorial with new function names and more structure

- Updated community tutorial with new function names and more structure

- Test of
`to_subgraphs()`

no longer sampled

- Updated
`{manynet}`

logo with stocnet GitHub address and color blind safe colorway - Fixed bug in diffusion tutorial because of undeclared
`{minMse}`

dependency - Renamed all functions starting with the
`network_*`

prefix to`net_*`

for conciseness - Migrated network measures, membership, motifs, and models’ functions
from
`{migraph}`

- Migrated community, position, topology, and diffusion tutorials from
`{migraph}`

- Added descriptions to tutorials

- Fixed bug in
`create_core()`

where the membership inferred when passing an existing network was incorrect - Added
`generate_configuration()`

for generating configuration models (including for two-mode networks) `play_diffuson()`

now includes an explicit contact argument to control the basis of exposure

`node_is_*()`

functions now infer network data context- Added
`node_is_independent()`

for identifying nodes among largest independent sets `is_multiplex()`

now excludes reserved tie attribute names other than type, such as “weight”, “sign”, or “wave”- Added
`is_attributed()`

to check for non-name nodal attributes - Fixed issues with ordering in
`node_is_latent()`

,`node_is_recovered()`

, and`node_is_infected()`

(closes #71) - Added list methods for
`is_twomode()`

,`is_labelled()`

, and`is_complex()`

- Renamed functions to graph networks
`graphr()`

,`graphs()`

, and`grapht()`

(`autographr()`

,`autographs()`

, and`autographd()`

are now deprecated) - node_size now an aesthetic, allowing
`scale_size(range = c(...,...))`

to be used - Reexported
`scale_size()`

from`{ggplot2}`

`graphr()`

now rescales node size depending on network size (closes #51)- Fixed issues with “hierarchy” layout for two mode network (closes #61)
- Updated “concentric” layout to accept unlabeled nodes (closes #68)

`to_named()`

now randomly generates and adds an alphabetic sequence of names, where previously this was just a random sample, which may assist pedagogical use- baby_names (internal) now includes a few extra “Q” and “U” names

- Added
`to_correlation()`

that implements pairwise correlation on network - Added
`arrange_ties()`

for`{dplyr}`

-like reordering of ties based on some attribute - Added
`to_correlation()`

for calculating the Pearson correlation- This takes a method argument for “all”, “diag”, “recip”, or “complex”
- These are similar to functions implemented by Ron Breiger and shared by him in correspondence

- Fixed bug in
`as_diff_model()`

where events were out of order and named

`is_multiplex()`

now recognises “date”, “begin”, and “end” as reserved

- Migrated measures from
`{migraph}`

- Centrality measures
- Degree-related centrality measures include
`node_degree()`

,`node_deg()`

,`node_indegree()`

,`node_outdegree()`

,`node_multidegree()`

,`node_posneg()`

,`tie_degree()`

,`net_degree()`

,`net_indegree()`

, and`net_outdegree()`

- Betweenness-related centrality measures include
`node_betweenness()`

,`node_induced()`

,`node_flow()`

,`tie_betweenness()`

, and`net_betweenness()`

- Closeness-related centrality measures include
`node_closeness()`

,`node_reach()`

,`node_harmonic()`

,`node_information()`

,`tie_closeness()`

,`net_closeness()`

,`net_reach()`

, and`net_harmonic()`

- Eigenvector-related centrality measures include
`node_eigenvector()`

,`node_power()`

,`node_alpha()`

,`node_pagerank()`

,`tie_eigenvector()`

, and`net_eigenvector()`

- Degree-related centrality measures include
- Closure measures include
`net_reciprocity()`

,`node_reciprocity()`

,`net_transitivity()`

,`node_transitivity()`

,`net_equivalency()`

, and`net_congruency()`

- Cohesion measures include
`net_density()`

,`net_components()`

,`net_cohesion()`

,

`net_adhesion()`

,`net_diameter()`

,`net_length()`

, and`net_independence()`

- Diffusion measures include
`net_transmissibility()`

,`net_recovery()`

,`net_reproduction()`

,`net_immunity()`

,`net_hazard()`

,`net_infection_complete()`

,`net_infection_total()`

,`net_infection_peak()`

,`node_adoption_time()`

,`node_thresholds()`

,`node_recovery()`

, and`node_exposure()`

- Heterogeneity measures include
`net_richness()`

,`node_richness()`

,`net_diversity()`

,`node_diversity()`

,`net_heterophily()`

,`node_heterophily()`

,`net_assortativity()`

, and`net_spatial()`

- Hierarchy measures include
`net_reciprocity()`

,`net_connectedness()`

,`net_efficiency()`

, and`net_upperbound()`

- Holes’ measures include
`node_bridges()`

,`node_redundancy()`

,`node_effsize()`

,

`node_efficiency()`

,`node_constraint()`

,`node_hierarchy()`

,`node_eccentricity()`

,`node_neighbours_degree()`

, and`tie_cohesion()`

- Features’ measures include
`net_core()`

,`net_richclub()`

,`net_factions()`

,`node_partition()`

,`net_modularity()`

,`net_smallworld()`

,`net_scalefree()`

,`net_balance()`

,`net_change()`

, and`net_stability()`

- Centrality measures
- Updated properties from mapping to measuring
- Updated attributes from mapping to measuring
- Renamed
`node_mode()`

(deprecated) to node_is_mode() since it returns a logical vector - Updated
`node_attribute()`

and`tie_attribute()`

to return measures when the output is numeric

- Renamed
- Updated
`node_exposure()`

to work with two-mode and signed networks - Fixed
`node_constraint()`

to work with weighted two-mode networks, thanks to Toshitaka Izumi for spotting this - All measure functions can now be used in e.g.
`mutate()`

without specifying`.data`

- Added
`net_independence()`

for calculating the number of nodes in the largest independent set `node_coreness()`

now returns ‘node_measure’ output`node_exposure()`

now sums tie weights where passed a weighted network

- Migrated members from
`{migraph}`

- Cliques memberships
`node_in_roulette()`

(previously`node_roulette()`

) - Community and hierarchical memberships includes
`node_in_optimal()`

,`node_in_partition()`

(previously`node_kernaghinlin()`

),`node_in_infomap()`

,`node_in_spinglass()`

,`node_in_fluid()`

,`node_in_louvain()`

,`node_in_leiden()`

,`node_in_betweenness()`

,`node_in_greedy()`

,`node_in_eigen()`

, and`node_in_walktrap()`

- Components’ memberships include
`node_in_component()`

,`node_in_weak()`

, and`node_in_strong()`

(NB:`node_in_component()`

is no longer phrased in the plural) - Core-periphery memberships include
`node_is_core()`

and`node_coreness()`

- Diffusion memberships include
`node_in_adopter()`

- Equivalence memberships include
`node_in_equivalence()`

,`node_in_structural()`

,`node_in_regular()`

, and`node_in_automorphic()`

- Note that these functions were previously named
`node_*()`

, but including the preposition`_in_`

is more consistent.

- Cliques memberships
`node_member`

class is now categorical`make_node_member()`

now converts numeric results to LETTER character results`print.node_member()`

now works with categorical membership vectors`print.node_member()`

now declares how many groups before reporting the vectors

- All membership functions can now be used in
e.g.
`mutate()`

without specifying`.data`

- Hierarchical clustering algorithms now return dendrograms

- Migrated motifs to take census of network, node positions, and
brokerage from
`{migraph}`

, these include`node_by_tie()`

,`node_by_triad()`

,`node_by_quad()`

,`node_by_path()`

,`net_by_dyad()`

,`net_by_triad()`

,`net_by_mixed()`

,`node_by_brokerage()`

,`net_by_brokerage()`

- Note that these functions were previously named
`*_*_census()`

, but the preposition`_by_`

is more consistent.

- Note that these functions were previously named
`node_tie_census()`

now works on longitudinal network data- Fixed bug where
`print.node_motif()`

wasn’t printing the requested number of lines

- Migrated methods from
`{migraph}`

- Methods for equivalence clustering include
`cluster_hierarchical()`

and`cluster_concor()`

- Methods for selecting clusters include
`k_strict()`

,`k_elbow()`

, and`k_silhouette()`

- Methods for equivalence clustering include
- Several improvements to
`cluster_concor()`

`cluster_concor()`

now uses`to_correlation()`

for initial correlation- It still uses
`stats::cor()`

for subsequent iterations - Fixed how
`cluster_concor()`

handles unlabelled networks - Fixed how
`cluster_concor()`

handles two-mode networks - Fixed bug where
`cluster_concor()`

cutoff resulted in unsplit groups

`cluster_hierarchical()`

now also uses`to_correlation()`

- Added
`ison_greys`

dataset, including some corrections to that published in`{networkdata}`

- Updated
`ison_friends`

dataset to be explicitly longitudinal - Updated
`ison_usstates`

dataset with population data (Alaska and Hawaii missing) - Updated
`ison_southern_women`

dataset with surnames, titles, event dates, and corrected ties - Updated data documentation with revised multiplex definition

2024-03-15

- Fixed documentation issue with
`to_scope()`

for CRAN resubmission

2024-03-13

- Fixed issues with
`autographr()`

examples that were taking too long to run - Separated documentation for
`autographr()`

,`autographs()`

, and`autographd()`

functions - Closed #64 by adding aliases for
`autographr()`

,`autographs()`

, and`autographd()`

functions - Closed #65 by fixing bugs with how
`node_is_infected()`

,`node_is_recovery()`

,`node_is_latent()`

work for network lists

2024-03-12

- Closed #57 by updating
`play_diffusions()`

to revert future plan on exit - Fixed bug with how
`generate_random()`

works for two-mode networks with specified number of ties

- Closed #6 by updating how “lineage” layout works and places nodes on Y axis
- Closed #39 by making
`autographr()`

more flexible and efficient in setting variables to aesthetics - Updated themes to be compatible with newer and older versions of
`{ggplot2}`

- Added “configuration” layout for small triad/quad networks

- Updated
`to_reciprocated.matrix()`

to consistently work with matrices

2023-12-24

- Fixed minor documentation bug in
`run_tute()`

- pkgdown urls now point to “stocnet/manynet”
- Closes #34 by pushing changes to CRAN

2023-12-24

- Major overhaul of documentation
- Moved function description up so that it appears in tooltips
- Split documentation of many functions to provide more space for explanation
- Moved some functions around for more thematic documentation

- Added
`pkg_data()`

to report an overview of data contained within the package(s) - Updated README and DESCRIPTION with new organisational affiliation: stocnet/manynet
- Updated tests to be consistent with future
`{ggplot2}`

release

- Migrated
`play_diffusion()`

and`play_diffusions()`

from`{migraph}`

- Including class creation, and
`print()`

,`summary()`

, and`plot()`

methods

- Including class creation, and
- Migrated
`play_learning()`

and`play_segregation()`

from`{migraph}`

- Including class creation, and
`print()`

,`summary()`

, and`plot()`

methods

- Including class creation, and
- Fixed bug in
`create_tree()`

where it was not returning a two-mode network correctly

- Added
`as_diffusion()`

to coerce a table of diffusion events into diff_model class`as_*()`

functions are now considered modifications

- Completed a full range of tidy verbs for nodes
- Added
`mutate_nodes()`

- Added
`filter_nodes()`

- Added
`rename_nodes()`

- Added
- Completed a full range of tidy and igraph verbs for ties
- Added
`bind_ties()`

- Added
`delete_ties()`

- Added
- Added
`to_tree()`

to find one or more spanning trees amongst a network’s ties - Added
`from_ties()`

to collect multiple networks into a multiplex network

- Renamed
`is.igraph()`

to`is_igraph()`

for igraph v2.0.0 - Added
`is_list()`

for identifying a list of networks - Migrated
`node_is_core()`

,`node_is_cutpoint()`

,`node_is_fold()`

,`node_is_isolate()`

,`node_is_mentor()`

from`{migraph}`

- Migrated
`node_is_exposed()`

,`node_is_infected()`

,`node_is_latent()`

,`node_is_recovered()`

from`{migraph}`

- Migrated
`node_is_max()`

,`node_is_min()`

,`node_is_random()`

from`{migraph}`

- Migrated
`tie_is_bridge()`

,`tie_is_loop()`

,`tie_is_multiple()`

,`tie_is_reciprocated()`

from`{migraph}`

- Added
`tie_is_feedback()`

- Migrated
`tie_is_max()`

,`tie_is_min()`

from`{migraph}`

- Added
`tie_is_random()`

- Added
`scale_edge_color_centres()`

,`scale_edge_color_ethz()`

,`scale_edge_color_iheid()`

,`scale_edge_color_rug()`

,`scale_edge_color_sdgs()`

- Fixed bug that meant edge scales were unavailable (closes #43)

`autographr()`

now provides legends by default where multiple colours are used (closes #52)`autographs()`

now labels legends correctly for binary variables (closes #38)`autographs()`

now graphs just the first and last networks in a list (closes #45)`autographs()`

now includes an option whether the layout should be based on the first, last, or both of two networks (closes #48)

- Renamed
`ison_konigsberg`

to`ison_koenigsberg`

and named the bridges `ison_algebra`

now in long multiplex format`ison_karateka`

now weighted, anonymous members are named by number, and “obc” variable renamed “allegiance”`ison_lawfirm`

enlarged from 36 to 71 nodes and now consists of three multiplex, directed networks`ison_southern_women`

names are now title case- Added
`ison_hightech`

, a multiplex, directed network from Krackhardt 1987 - Added four
`ison_monastery`

datasets, three of which are signed and weighted, and the other is longitudinal, from Sampson 1969 (closes #49) - Added six
`ison_potter`

datasets in a list of networks, from Bossaert and Meidert 2013 (closes #47) - Added
`ison_usstates`

data on the contiguity of US states, from Meghanathan 2017

2023-12-17

`as_tidygraph.diff_model()`

no longer creates names for unlabelled networks

`to_waves.diff_model()`

now adds three logical vectors as variables, “Infected”, “Exposed”, and “Recovered”- Relies on parallels to migraph’s
`node_is_latent()`

,`node_is_infected()`

, and`node_is_recovered()`

- Fixed bug in wave naming

- Relies on parallels to migraph’s

`autographr()`

now shapes seed, adopter, and non-adopter nodes using a parallel to migraph’s`node_adoption_time()`

for- Improved guide/legend labelling and positioning

`autographs()`

now colors susceptible, exposed, infected, and recovered nodes correctly`autographd()`

now colors susceptible, exposed, infected, and recovered nodes correctly

2023-12-15

- Overhaul of the README to summarise many of the unique aspects of the package (closed #36)

- Added
`as_tidygraph()`

method for diff_model objects - Added
`as_siena()`

method for tidygraph objects

- Manipulating functions now called Modifying
`to_waves()`

now works on diff_model objects, add attributes and names`is_multiplex()`

now recognises a tie/edge ‘type’ attribute as evidence of multiplexity- Deleted unnecessary reexports from other packages
`igraph::is_bipartite()`

is superseded by`is_twomode()`

`tidygraph::activate()`

is superseded by`mutate_ties()`

and similar functions

- Fixed bug by replacing older
`igraph::as_incidence_matrix()`

and`igraph::graph_from_incidence_matrix()`

with`igraph::as_biadjacency_matrix()`

and`igraph::graph_from_biadjacency_matrix()`

`autographr()`

now plots diff_model objects, showing the diffusion as a heatmap on the vertices`autographs()`

and`autographd()`

now utilise network information in diff_model objects to provide better layouts (closed #17)- Fixed bug with specifying
`node_size`

in`autographd()`

`many_palettes`

replaces`iheid_palette`

- Added new palettes, themes and scales for graphs (closed #9)
`theme_ethz()`

,`scale_color_ethz()`

/`scale_colour_ethz()`

, and`scale_fill_ethz()`

for ETH Zürich`theme_uzh()`

,`scale_color_uzh()`

/`scale_colour_uzh()`

, and`scale_fill_uzh()`

for Uni Zürich`theme_rug()`

,`scale_color_rug()`

/`scale_colour_rug()`

, and`scale_fill_rug()`

for Uni Gröningen

- Added
`ison_physicians`

data that includes four, multiplex networks with adoption data

2023-12-06

- Fixed documentation issues with
`run_tute()`

- Added
`read_graphml()`

and`write_graphml()`

for importing and exporting graphml objects, mostly wrappers for igraph functions.

`autographd()`

and`autographs()`

can now be used for plotting diffusion models.- Updates to
`to_waves()`

and`autographd()`

to account for ‘exposed’ nodes in diffusion models.

- Updates to
- Updates to layouts
- Updates to
`hierarchical`

layout so that node name can be specified for centering the layout - Updated
`theme_heid()`

layout

- Updates to

- Added faction attribute to
`ison_starwars`

data, thanks to coding by Yichen Shen and Tiphaine Aeby

2023-11-15

- Updated
`run_tute()`

function to “fuzzy” match tutorial names

- Added
`+.ggplot()`

method for visualising multiple plots in the same pane - Added custom theme
`theme_iheid`

for plots - Added custom
`scale_`

family of functions for changing colour scales in plots - Updated
`autographr()`

:- Added “center” option for hierarchy layout that places events or actors in the middle alike “bip” and “bip3” layouts
- Added “lineage” layout that fixes node positions according to values in y axis

- Fixed bugs with
`autographd()`

function

2023-11-02

- Fixed tutorials documentation issue for CRAN

2023-11-01

- Updated treatment of adjacency matrices in
`as_igraph()`

in accordance with upcoming updates to`{igraph}`

package (closing #27)

- Added
`to_mentoring`

function

- Fixed bugs in
`autographr()`

related to`edge_size`

and`edge_color`

- Fixed bugs and updated label placements for “circular” and
“concentric” layouts for
`autographr()`

- Fixed issues with self-ties in
`autographr()`

- Updated tests for
`autographr()`

- Added
`ison_friends`

, a one-mode network on character connections of a popular TV series

2023-10-25

- Added documentation for tutorial helper functions

`generate`

examples leverage`autographr()`

again

- Fixed bug in
`to_redirected.tbl_graph()`

`print.tbl_graph()`

no longer mentions the object class

`layout_tbl_graph_concentric()`

now works with two-mode networks, multiple levels for one-mode networks, and accepts new vectors- Added
`layout_tbl_graph_multilevel()`

for laying out multilevel networks - Added
`layout_tbl_graph_triad()`

and`layout_tbl_graph_quad()`

configurational layouts

- Added
`ison_starwars`

, a collection of seven weighted interaction networks on a popular film franchise `ison_networkers`

names are now in title case, not all caps

2023-10-19

- Added ‘tutorial0’ for those less comfortable with R
- Added
`run_tute()`

helper for quicker access to`{manynet}`

and`{migraph}`

tutorials - Added
`extract_tute()`

for extracting the main code examples from`{manynet}`

and`{migraph}`

tutorials - Added
`purl = FALSE`

to tutorial chunks that are not needed for extraction (thanks @JaelTan) - Updated website with new functions
`run_tute()`

and`extract_tute()`

- Fixed remaining issues with
`node_group`

and updated documentation

2023-10-11

- README now includes Macports installation instructions
- Added
`{graphlayouts}`

,`{ggforce}`

, and`{multiplex}`

to Suggested

- Added
`to_galois()`

for transforming networks into partially ordered Galois lattices

- Fixed bug in node_shape argument in
`autographr()`

- Fixed bug in node_group argument in
`autographr()`

, closes #11 - Fixed bug in inconsistent default colour scheme for node_color and
node_group in
`autographr()`

`autographr()`

now automatically bends arcs for reciprocated ties when directed network is not too large/dense`autographr()`

now accepts unquoted variables as arguments`autographr()`

now uses`graphlayouts::layout_igraph_multilevel`

where appropriate- Default node labelling now larger and further from nodes in circular layout

`ison_algebra`

now an anonymised network (again)

2023-09-17

- Fixed URL in read_

2023-09-17

- README now points to
`{migraph}`

earlier

- Fixed various bugs in first (data) tutorial

- Fixed explicit node_shape bug

- Added
`ison_lawfirm`

data from Lazega, see documentation for more details - Upgraded ison_marvel data to latest igraph specification

2023-08-11

- Fixed documentation issues with map_palettes

2023-08-11

- Closed #4 by adding
`thisRequiresBio()`

helper function to download Bioconductor packages - Upgraded ison data to latest igraph specification
- Added
`ison_konigsberg`

for illustrating Seven Bridges of Konigsberg - Removed
`ison_brandes2`

and added potential modal type as extra variable to`ison_brandes`

- Consolidated
`ison_bb`

,`ison_bm`

,`ison_mb`

, and`ison_mm`

into a list of networks called`ison_laterals`

- Added

- Added
`create_explicit()`

for creating networks based on explicit nodes and ties

- Added
`delete_nodes()`

for deleting specific nodes - Added
`to_eulerian()`

function that returns a Eulerian path network, if available, from a given network

- Moved additional
`is_`

functions from`{migraph}`

- Added
`is_connected()`

to test if network is strongly connected - Added
`is_perfect_matching()`

to test if there is a matching for every node in the network - Added
`is_eulerian()`

to test whether there is a Eulerian path for a network - Added
`is_acyclic`

to test whether network is a directed acyclic graph - Added
`is_aperiodic`

to test whether network is aperiodic

- Added
- Added partition layouts
- Added
`layout_tbl_graph_alluvial()`

that places successive layers horizontally - Added
`layout_tbl_graph_concentric()`

that places a “hierarchy” layout around a circle - Added
`layout_tbl_graph_hierarchy()`

that layers the nodes along the top and bottom sequenced to minimise overlap - Added
`layout_tbl_graph_ladder()`

that aligns nodes across successive layers horizontally - Added
`layout_tbl_graph_railway`

that aligns nodes across successive layers vertically

- Added
- Added
`theme_iheid()`

function that themes graphs with colors based on the Geneva Graduate Institute

2023-06-20

- Added tutorials for package
- Moved and updated “data” tutorial from
`{migraph}`

- Moved and updated “visualisations” tutorial from
`{migraph}`

- Moved and updated “data” tutorial from

2023-06-09

- Removed commented out examples
- Added more detail on what various functions return

- Added
`na_to_mean.data.frame()`

- Added
`network_dims.network()`

2023-06-07

- Split up the
`{migraph}`

package, adding the Make, Manipulate, and Map functions to this package - Added package documentation
- Added .github files
- Added README structured around the problems the package solves

- Improved consistency and readability
- Functions that take data as their first argument has that first
argument named
`.data`

- Added new
`print.tbl_graph`

method that offers easy to interpret information - Note that this method is exported but not currently documented

- Functions that take data as their first argument has that first
argument named
- Reduced package dependencies considerably
- Many are now weak dependencies; a dialog is invoked when the calling function is used for the first time and the user is prompted to install the missing package

- Added extensive testing
- Added new ‘manynet’ logo

- Added
`read_*()`

functions, e.g.`read_edgelist()`

- Added
`write_*()`

functions, e.g.`write_edgelist()`

- Added
`write_matrix()`

for exporting to matrices

- Added
- Added
`create_*()`

functions, e.g.`create_lattice()`

- All
`create_*()`

functions return`tbl_graph`

class objects

- All
- Added
`generate_*()`

functions, e.g.`generate_smallworld()`

- Added
`ison_*`

network data, e.g.`ison_southern_women`

- Added
`as_*()`

functions, e.g.`as_igraph()`

- Fixed
`as_edgelist.network()`

- Fixed
`as_network.data.frame()`

- Fixed
`as_network.tbl_graph()`

- Fixed
- Added
`join_*()`

functions, e.g.`join_ties()`

- Added
`add_*()`

functions, e.g.`add_node_attribute()`

- All
`create_*()`

functions return`tbl_graph`

class objects

- All
- Added
`mutate_*()`

functions, e.g.`mutate_ties()`

- With
`mutate_ties()`

, it is no longer necessary to`activate(edges)`

- With
- Added
`rename_*()`

functions, e.g.`rename_ties()`

- Added
`is_*()`

functions, e.g.`is_dynamic()`

- Fixed
`is_labelled()`

to work correctly with multiple network formats

- Fixed
- Added
`to_*()`

functions, e.g.`to_mode1()`

- This includes functions for reformatting, transforming, and splitting
- This also includes functions for returning networks with missing data replaced by some imputed values
- Fixed
`to_giant.network()`

`to_directed()`

now a method`to_subgraphs()`

now returns a list of`tbl_graph`

s`to_reciprocated()`

now works on edgelists, matrices, tbl_graphs, and networks`to_acylic()`

now works on matrices, tbl_graphs, and networks

- Added
`from_*()`

functions, e.g.`from_egos()`

- Fixed
`from_subgraphs()`

- Fixed
- Added “grab” functions, e.g.
`network_nodes()`

`network_dims()`

is now a method

- Added
`autographr()`

,`autographs()`

, and`autographd()`

- Added layout functions
- Fixed
`layout_tbl_graph_concentric()`

- Fixed