graphs#
Zachary’s Karate Club graph Data file from: http://vlado.fmf.uni-lj.si/pub/networks/data/Ucinet/UciData.htm Reference: Zachary W. (1977). An information flow model for conflict and fission in small groups. Journal of Anthropological Research, 33, 452-473.
import networkx as nx
from bokeh.io import show
from bokeh.models import (BoxSelectTool, Column, EdgesAndLinkedNodes, HoverTool,
MultiLine, NodesAndAdjacentNodes, NodesAndLinkedEdges,
Plot, Range1d, Row, Scatter, TapTool)
from bokeh.palettes import Spectral4
from bokeh.plotting import from_networkx
G = nx.karate_club_graph()
def create_graph(layout_func, inspection_policy=None, selection_policy=None, **kwargs):
plot = Plot(width=400, height=400, x_range=Range1d(-1.1, 1.1), y_range=Range1d(-1.1, 1.1))
graph_renderer = from_networkx(G, layout_func, **kwargs)
scatter_glyph = Scatter(size=15, fill_color=Spectral4[0])
graph_renderer.node_renderer.glyph = scatter_glyph
graph_renderer.node_renderer.selection_glyph = scatter_glyph.clone(fill_color=Spectral4[2])
graph_renderer.node_renderer.hover_glyph = scatter_glyph.clone(fill_color=Spectral4[1])
ml_glyph = MultiLine(line_color="#CCCCCC", line_alpha=0.8, line_width=5)
graph_renderer.edge_renderer.glyph = ml_glyph
graph_renderer.edge_renderer.selection_glyph = ml_glyph.clone(line_color=Spectral4[2], line_alpha=1)
graph_renderer.edge_renderer.hover_glyph = ml_glyph.clone(line_color=Spectral4[1], line_alpha=1)
if inspection_policy is not None:
graph_renderer.inspection_policy = inspection_policy
if selection_policy is not None:
graph_renderer.selection_policy = selection_policy
plot.renderers.append(graph_renderer)
return plot
plot_1 = create_graph(nx.circular_layout, inspection_policy=NodesAndLinkedEdges(), scale=1, center=(0, 0))
plot_1.title.text = "Circular Layout (NodesAndLinkedEdges inspection policy)"
plot_1.add_tools(HoverTool(tooltips=None))
plot_2 = create_graph(nx.spring_layout, selection_policy=NodesAndLinkedEdges(), scale=2, center=(0, 0))
plot_2.title.text = "Spring Layout (NodesAndLinkedEdges selection policy)"
plot_2.add_tools(TapTool(), BoxSelectTool())
plot_3 = create_graph(nx.random_layout, inspection_policy=EdgesAndLinkedNodes(), center=(0, 0))
plot_3.title.text = "Random Layout (EdgesAndLinkedNodes inspection policy)"
plot_3.add_tools(HoverTool(tooltips=None))
plot_4 = create_graph(
nx.fruchterman_reingold_layout, selection_policy=EdgesAndLinkedNodes(), scale=2, center=(0, 0), dim=2,
)
plot_4.title.text = "FR Layout (EdgesAndLinkedNodes selection policy)"
plot_4.add_tools(TapTool())
plot_5 = create_graph(nx.circular_layout, inspection_policy=NodesAndAdjacentNodes(), scale=1, center=(0, 0))
plot_5.title.text = "Circular Layout (NodesAndAdjacentNodes inspection policy)"
plot_5.add_tools(HoverTool(tooltips=None))
plot_6 = create_graph(
nx.fruchterman_reingold_layout, selection_policy=NodesAndAdjacentNodes(), scale=2, center=(0, 0), dim=2,
)
plot_6.title.text = "FR Layout (NodesAndAdjacentNodes selection policy)"
plot_6.add_tools(TapTool())
layout = Column(Row(plot_1, plot_2), Row(plot_3, plot_4), Row(plot_5, plot_6))
show(layout)