Function reference • ggraph

Plot Construction While ggraph builds on top of ggplot2 it uses its own function to initialise plots, allowing you to set global settings such as layouts etc.
`ggraph()` `create_layout()`	Create a ggraph plot
`autograph()`	Quickplot wrapper for networks
Layouts Layouts specify the spatial positioning of the nodes in the graph. In addition to calculating x and y coordinates for the nodes some layouts also calculate additional metrics used when plotting, e.g. width and height for treemap layouts. Layouts are specified in the `ggraph()` call or precalculated using `create_layout()`.
`layout_tbl_graph_auto()`	Automatically pick a layout based on graph type
`layout_tbl_graph_manual()`	Manually specify a layout for layout_tbl_graph
`layout_tbl_graph_stress()` `layout_tbl_graph_sparse_stress()`	Place nodes using stress majorisation
`layout_tbl_graph_igraph()`	Use igraph layout algorithms for layout_tbl_graph
`layout_tbl_graph_backbone()`	Place node to emphasize group structure
`layout_tbl_graph_pmds()`	Place nodes based on a multidimensional scaling of a set of pivot nodes
`layout_tbl_graph_eigen()`	Place nodes according to their eigenvalues
`layout_tbl_graph_centrality()`	Place nodes in circles according to centrality measure
`layout_tbl_graph_focus()`	Place nodes in circles based on distance to a specific node
`layout_tbl_graph_dendrogram()`	Apply a dendrogram layout to layout_tbl_graph
`layout_tbl_graph_unrooted()`	Create an unrooted layout using equal-angle or equal-daylight
`layout_tbl_graph_linear()`	Place nodes on a line or circle
`layout_tbl_graph_circlepack()`	Calculate nodes as circles packed within their parent circle
`layout_tbl_graph_treemap()`	Calculate nodes as rectangles subdividing that of their parent
`layout_tbl_graph_partition()`	Calculate nodes as areas dividing their parent
`layout_tbl_graph_cactustree()`	Calculate nodes as fractal circle buds
`layout_tbl_graph_htree()`	Layout binary trees in a fractal H formation
`layout_tbl_graph_matrix()`	Place nodes on a diagonal
`layout_tbl_graph_hive()`	Place nodes in a Hive Plot layout
`layout_tbl_graph_fabric()` `node_rank_fabric()`	Create a fabric layout
`layout_tbl_graph_sf()`	Place nodes on their geographical space
`layout_tbl_graph_metro()`	Place nodes according to the standard design of metro maps
Nodes While nodes are often thought of as points in a hairball graph, they are much more than that, depending on the layout type.
`geom_node_point()`	Show nodes as points
`geom_node_text()` `geom_node_label()`	Annotate nodes with text
`geom_node_tile()`	Draw the rectangles in a treemap
`geom_node_voronoi()`	Show nodes as voronoi tiles
`geom_node_circle()`	Show nodes as circles
`geom_node_arc_bar()`	Show nodes as thick arcs
`geom_node_range()`	Show nodes as a line spanning a horizontal range
`geom_node_sf()`	Show nodes as POINTs in geographical space
Edges Edges are the entities connecting nodes, often drawn with some sort of line. Certain layouts calls for other types, e.g. a matrix plot where edges are illustrated with points.
`geom_edge_link()` `geom_edge_link2()` `geom_edge_link0()`	Draw edges as straight lines between nodes
`geom_edge_arc()` `geom_edge_arc2()` `geom_edge_arc0()`	Draw edges as Arcs
`geom_edge_parallel()` `geom_edge_parallel2()` `geom_edge_parallel0()`	Draw multi edges as parallel lines
`geom_edge_fan()` `geom_edge_fan2()` `geom_edge_fan0()`	Draw edges as curves of different curvature
`geom_edge_loop()` `geom_edge_loop0()`	Draw edges as diagonals
`geom_edge_diagonal()` `geom_edge_diagonal2()` `geom_edge_diagonal0()`	Draw edges as diagonals
`geom_edge_elbow()` `geom_edge_elbow2()` `geom_edge_elbow0()`	Draw edges as elbows
`geom_edge_bend()` `geom_edge_bend2()` `geom_edge_bend0()`	Draw edges as diagonals
`geom_edge_hive()` `geom_edge_hive2()` `geom_edge_hive0()`	Draw edges in hive plots
`geom_edge_span()` `geom_edge_span2()` `geom_edge_span0()`	Draw edges as vertical spans
`geom_edge_point()`	Draw edges as glyphs
`geom_edge_tile()`	Draw edges as glyphs
`geom_edge_density()`	Show edges as a density map
`geom_edge_bundle_force()` `geom_edge_bundle_force2()` `geom_edge_bundle_force0()`	Bundle edges using force directed edge bundling
`geom_edge_bundle_path()` `geom_edge_bundle_path2()` `geom_edge_bundle_path0()`	Bundle edges using edge path bundling
`geom_edge_bundle_minimal()` `geom_edge_bundle_minimal2()` `geom_edge_bundle_minimal0()`	Bundle edges along the minimal spanning tree
`geom_edge_sf()`	Draw edges as LINESTRINGs in geographical space
Connections Connections are meta-edges, connecting nodes that are not direct neighbors, either through their shortest path or directly.
`geom_conn_bundle()` `geom_conn_bundle2()` `geom_conn_bundle0()`	Create hierarchical edge bundles between node connections
Facets Faceting with networks is a bit different than for tabular data, as you’d often want to facet only nodes, or edges etc.
`facet_graph()`	Create a grid of small multiples by node and/or edge attributes
`facet_nodes()`	Create small multiples based on node attributes
`facet_edges()`	Create small multiples based on edge attributes
Scales While nodes uses the standard scales provided by ggplot2, edges have their own, allowing you to have different scaling for nodes and edges.
`scale_edge_colour_hue()` `scale_edge_colour_brewer()` `scale_edge_colour_distiller()` `scale_edge_colour_gradient()` `scale_edge_colour_gradient2()` `scale_edge_colour_gradientn()` `scale_edge_colour_grey()` `scale_edge_colour_identity()` `scale_edge_colour_manual()` `scale_edge_colour_viridis()` `scale_edge_colour_steps()` `scale_edge_colour_steps2()` `scale_edge_colour_stepsn()` `scale_edge_colour_fermenter()` `scale_edge_colour_continuous()` `scale_edge_colour_discrete()` `scale_edge_colour_binned()` `scale_edge_color_hue()` `scale_edge_color_brewer()` `scale_edge_color_distiller()` `scale_edge_color_gradient()` `scale_edge_color_gradient2()` `scale_edge_color_gradientn()` `scale_edge_color_grey()` `scale_edge_color_identity()` `scale_edge_color_manual()` `scale_edge_color_continuous()` `scale_edge_color_discrete()` `scale_edge_color_viridis()` `scale_edge_color_steps()` `scale_edge_color_steps2()` `scale_edge_color_stepsn()` `scale_edge_color_fermenter()` `scale_edge_color_binned()`	Edge colour scales
`scale_edge_fill_hue()` `scale_edge_fill_brewer()` `scale_edge_fill_distiller()` `scale_edge_fill_gradient()` `scale_edge_fill_gradient2()` `scale_edge_fill_gradientn()` `scale_edge_fill_grey()` `scale_edge_fill_identity()` `scale_edge_fill_manual()` `scale_edge_fill_viridis()` `scale_edge_fill_steps()` `scale_edge_fill_steps2()` `scale_edge_fill_stepsn()` `scale_edge_fill_fermenter()` `scale_edge_fill_continuous()` `scale_edge_fill_discrete()` `scale_edge_fill_binned()`	Edge fill scales
`scale_edge_alpha()` `scale_edge_alpha_continuous()` `scale_edge_alpha_discrete()` `scale_edge_alpha_binned()` `scale_edge_alpha_manual()` `scale_edge_alpha_identity()`	Edge alpha scales
`scale_edge_width_continuous()` `scale_edge_width()` `scale_edge_width_discrete()` `scale_edge_width_binned()` `scale_edge_width_manual()` `scale_edge_width_identity()`	Edge width scales
`scale_edge_size_continuous()` `scale_edge_radius()` `scale_edge_size()` `scale_edge_size_discrete()` `scale_edge_size_binned()` `scale_edge_size_area()` `scale_edge_size_binned_area()` `scale_edge_size_manual()` `scale_edge_size_identity()`	Edge size scales
`scale_edge_linetype()` `scale_edge_linetype_continuous()` `scale_edge_linetype_discrete()` `scale_edge_linetype_binned()` `scale_edge_linetype_manual()` `scale_edge_linetype_identity()`	Edge linetype scales
`scale_edge_shape()` `scale_edge_shape_discrete()` `scale_edge_shape_continuous()` `scale_edge_shape_binned()` `scale_edge_shape_manual()` `scale_edge_shape_identity()`	Edge shape scales
`scale_label_size_continuous()` `scale_label_size()` `scale_label_size_discrete()` `scale_label_size_binned()` `scale_label_size_manual()` `scale_label_size_identity()`	Edge label size scales
Guides As for scales, the edge geoms comes with their own guides.
`guide_edge_direction()`	Edge direction guide
`guide_edge_colourbar()` `guide_edge_colorbar()`	Colourbar legend for edges
`guide_edge_coloursteps()` `guide_edge_colorsteps()`	Coloursteps legend for edges
Helpers ggraph contains an assortment of helpers for various tasks related to plotting.
`geom_axis_hive()`	Draw rectangular bars and labels on hive axes
`get_sf_nodes()` `get_nodes()`	Create a node extractor function
`get_edges()` `get_sf_edges()`	Create edge extractor function
`get_con()`	Create a connection extractor function
`geometry()` `circle()` `square()` `ellipsis()` `rectangle()` `label_rect()` `is.geometry()`	Define simple shapes for line capping
`node_angle()` `edge_angle()`	Get the angle of nodes and edges
`pack_circles()`	Pack circles together
`theme_graph()` `th_foreground()` `th_no_axes()` `set_graph_style()` `unset_graph_style()`	A theme tuned for graph visualizations
Data To facilitate playing around ggraph includes a set of small network datasets
`flare`	The class hierarchy of the flare visualization library
`highschool`	Friendship among high school boys
`whigs`	Membership network of American Whigs

Reference

Plot Construction

Layouts

Nodes

Edges

Connections

Facets

Scales

Guides

Helpers

Data