The data in this example represents Facebook social circle obtained from SNAP.

Most examples work across multiple plotting backends, this example is also available for:

Matplotlib network_graph



In [ ]:

    
import pandas as pd
import holoviews as hv
hv.extension('bokeh')

Declaring data



In [ ]:

    
edges_df = pd.read_csv('../../../assets/fb_edges.csv')
nodes_df = pd.read_csv('../../../assets/fb_nodes.csv')

fb_nodes = hv.Nodes(nodes_df).sort()
fb_graph = hv.Graph((edges_df, fb_nodes), label='Facebook Circles')

Plot



In [ ]:

    
colors = ['#000000']+hv.Cycle('Category20').values
fb_graph = fb_graph.redim.range(x=(-0.05, 1.05), 
                                y=(-0.05, 1.05)
                               )
fb_graph.opts(color_index='circle', width=800, height=800, show_frame=False,
                 xaxis=None, yaxis=None,node_size=10, edge_line_width=1, cmap=colors)